From fb58137d1da26ebdfe533a0ca4058d4a1d55e2a3 Mon Sep 17 00:00:00 2001 From: Paulocracy <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 13 Oct 2020 11:13:17 +0200 Subject: [PATCH 1/5] Addressing issues #4, #5, #6 and #7 --- autopacmen/data_parse_brenda_textfile.py | 4 ++-- .../modeling_get_reactions_kcat_mapping.py | 6 ++++-- .../create_combined_kcat_database.py | 20 +++++++++++++++---- setup.py | 3 ++- 4 files changed, 24 insertions(+), 9 deletions(-) diff --git a/autopacmen/data_parse_brenda_textfile.py b/autopacmen/data_parse_brenda_textfile.py index c490869..76f9021 100644 --- a/autopacmen/data_parse_brenda_textfile.py +++ b/autopacmen/data_parse_brenda_textfile.py @@ -1,6 +1,6 @@ #!/usr/bin/env python3 # -# Copyright 2019 PSB +# Copyright 2019-2020 PSB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -42,7 +42,7 @@ "must not have been changed.") @click.option("--json_output_path", required=True, - type=click.Path(exists=True, dir_okay=True), + type=click.Path(file_okay=True, dir_okay=True, writable=True), prompt="JSON output path", help="The full path for the more machine-readable JSON file of the" " BRENDA database text file shall be placed. The resulting JSON " diff --git a/autopacmen/modeling_get_reactions_kcat_mapping.py b/autopacmen/modeling_get_reactions_kcat_mapping.py index 5f174c0..eec5ebf 100644 --- a/autopacmen/modeling_get_reactions_kcat_mapping.py +++ b/autopacmen/modeling_get_reactions_kcat_mapping.py @@ -1,6 +1,6 @@ #!/usr/bin/env python3 # -# Copyright 2019 PSB +# Copyright 2019-2020 PSB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -56,9 +56,11 @@ @click.option("--protein_kcat_database_path", required=True, type=click.Path(exists=True, file_okay=True, dir_okay=True), + default="", prompt="protein kcat database path", help="Full path to the custom user-defined kcat<->protein JSON. It must be a dictionary containing the protein names" - "(as given in the metabolic network's gene rules) as keys and associated kcats as children. See this script's description for more.") + "(as given in the metabolic network's gene rules) as keys and associated kcats as children. See this script's description for more." + "Default is '', which means that no user-defined database is given.") @click.option("--type_of_kcat_selection", required=True, type=str, diff --git a/autopacmen/submodules/create_combined_kcat_database.py b/autopacmen/submodules/create_combined_kcat_database.py index 733642a..7e6b4f8 100644 --- a/autopacmen/submodules/create_combined_kcat_database.py +++ b/autopacmen/submodules/create_combined_kcat_database.py @@ -1,6 +1,6 @@ #!/usr/bin/env python3 # -# Copyright 2019 PSB +# Copyright 2019-2020 PSB # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -65,9 +65,21 @@ def create_combined_kcat_database(sabio_rk_kcat_database_path: str, brenda_kcat_ combined_database: Dict[str, Dict[str, Any]] = {} # Go through each EC number :D... for ec_number_key in ec_number_keys: - # Get the wildcard status (i.e., found with a * wildcard?) - is_sabio_rk_from_wildcard: bool = sabio_rk_database[ec_number_key]["WILDCARD"] - is_brenda_from_wildcard: bool = brenda_database[ec_number_key]["WILDCARD"] + # Get the wildcard status (i.e., found with a * wildcard?) and check if the EC number occurs anywhere... + # ...for SABIO-RK + if ec_number_key not in sabio_rk_database.keys(): + print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards") + print("Possible reasons: The EC number format is invalid or there was an SABIO-RK API error") + is_sabio_rk_from_wildcard = True # Let the combined database ignore this entry + else: + is_sabio_rk_from_wildcard = sabio_rk_database[ec_number_key]["WILDCARD"] + # ...and for BRENDA + if ec_number_key not in brenda_database.keys(): + print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards") + print("Possible reason: The EC number format is invalid") + is_brenda_from_wildcard = True # Let the combined database ignore this entry + else: + is_brenda_from_wildcard = brenda_database[ec_number_key]["WILDCARD"] # If both are from wildcards, ignore them :3 if (is_sabio_rk_from_wildcard) and (is_brenda_from_wildcard): diff --git a/setup.py b/setup.py index d10f2bd..5ecc051 100644 --- a/setup.py +++ b/setup.py @@ -5,13 +5,14 @@ setuptools.setup( name="autopacmen-Paulocracy", - version="0.5.5", + version="0.5.6", author="Paulocracy", author_email="bekiaris@mpi-magdeburg.mpg.de", description="The AutoPACMEN package", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/Paulocracy/autopacmen", + packages=setuptools.find_packages(), classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: Apache Software License", From eaee335f0147d73581e1d832d9c430f80f83f36f Mon Sep 17 00:00:00 2001 From: Paulocracy <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 13 Oct 2020 11:27:28 +0200 Subject: [PATCH 2/5] Update manual --- autopacmen/docs/manual.odt | Bin 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From 943122871920620644b0280aacb2987c1f66c2b1 Mon Sep 17 00:00:00 2001 From: Paulocracy <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 27 Oct 2020 18:30:24 +0100 Subject: [PATCH 3/5] Chane internal module referencing --- README.md | 2 +- autopacmen/analysis_fva_comparison.py | 11 ++- autopacmen/analysis_fva_prot_pool.py | 2 +- .../data_create_combined_kcat_database.py | 2 +- .../data_parse_bigg_metabolites_file.py | 2 +- .../data_parse_brenda_json_for_model.py | 8 +- autopacmen/data_parse_brenda_textfile.py | 2 +- autopacmen/data_parse_sabio_rk_for_model.py | 2 +- autopacmen/docs/manual.odt | Bin 47863 -> 47920 bytes autopacmen/docs/manual.pdf | Bin 585417 -> 585533 bytes ...flux_control_and_differential_reactions.py | 10 +-- ...model_2019_06_25_analysis_fva_prot_pool.py | 4 +- ...06_25_compare_gecko_and_gecko_analogon.py} | 15 ++-- ..._read_supplementary_table_of_keff_paper.py | 2 +- .../ec_model_2019_06_25_data_set_up_model.py | 2 +- ...ith_other_models_with_monk_et_al_values.py | 6 +- ..._2019_06_25_figure_fva_variability_data.py | 36 +++++--- ..._different_maximal_glucose_uptake_rates.py | 2 +- .../ec_model_2019_06_25_fva_comparison.py | 2 +- .../ec_model_2019_06_25_leucine_test.py | 6 +- ..._2019_06_25_modeling_create_gecko_model.py | 2 +- ...imization_apply_fmincon_optimized_kcats.py | 4 +- ...06_25_optimization_apply_manual_changes.py | 2 +- ...6_25_original_generate_comparable_model.py | 6 +- ...c_model_2019_06_25_sMOMENT_iJO_CREATION.py | 20 ++--- ...on_with_other_models_adadi_et_al_values.py | 6 +- ...t_iJO1366star_original_gecko_comparison.py | 2 +- ...t_properties_original_and_smoment_model.py | 6 +- autopacmen/modeling_create_smoment_model.py | 3 +- .../modeling_get_reactions_kcat_mapping.py | 3 +- .../create_combined_kcat_database.py | 2 +- .../create_gecko_model_reaction_wise.py | 27 +++--- .../create_smoment_model_reaction_wise.py | 62 +++++++++----- autopacmen/submodules/fva_prot_pool.py | 9 +- .../submodules/get_differential_reactions.py | 21 +++-- .../submodules/get_initial_spreadsheets.py | 4 +- .../submodules/get_protein_mass_mapping.py | 2 +- .../submodules/get_reactions_kcat_mapping.py | 10 +-- autopacmen/submodules/helper_create_model.py | 78 ++++++++++++------ autopacmen/submodules/kegg.py | 6 +- autopacmen/submodules/ncbi_taxonomy.py | 3 +- .../submodules/parse_bigg_metabolites_file.py | 5 +- .../submodules/parse_brenda_json_for_model.py | 14 ++-- .../submodules/parse_brenda_textfile.py | 28 ++++--- autopacmen/submodules/parse_sabio_rk.py | 2 +- .../submodules/parse_sabio_rk_for_model.py | 10 ++- .../reaction_flux_control_by_scenario.py | 13 +-- setup.py | 2 +- 48 files changed, 288 insertions(+), 180 deletions(-) rename autopacmen/{compare_gecko_and_gecko_analogon.py => ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py} (76%) diff --git a/README.md b/README.md index c8cbf90..206ecc4 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ An HTML documentation of the source code of AutoPACMEN's Python modules can be f This HTML documentation was automatically generated using [pdoc3](https://pdoc3.github.io/pdoc/) (link accessed on Oct 30, 2019). The HTML documentation's starting point is "index.html" in the "./html/autopacmen" subfolder. -In addition, the exemplary usage of AutoPACMEN with iJO1366* is explained in AutoPACMEN's publication Supplementary File 1. +All scripts starting with "ec_model_2019_06_25" show the exemplary usage of AutoPACMEN for the generation of iJO1366*. All these scripts are intended to be run from the "autopacmen" subfolder of this repository. AutoPACMEN's exemplary usage is explained in AutoPACMEN's publication Supplementary File 1. Note: As it has a huge file size, the downloaded complete BRENDA text file brenda_downloads.txt (as described in AutoPACMEN's manual) is not included here. diff --git a/autopacmen/analysis_fva_comparison.py b/autopacmen/analysis_fva_comparison.py index f92a743..754a95e 100644 --- a/autopacmen/analysis_fva_comparison.py +++ b/autopacmen/analysis_fva_comparison.py @@ -25,19 +25,21 @@ # External module for command-line interfaces import click # Internal module, contains the actual FBA comparison function -from submodules.fva_comparison import fva_comparison_with_sbml +from .submodules.fva_comparison import fva_comparison_with_sbml # Set-up command-line parameters using click decorators @click.command() @click.option("--sbml_original_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="Original SBML path", help="Full SBML path of original model without protein allocation constraints") @click.option("--sbml_protein_constrained_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="SBML path of sMOMENT-enhanced model", help="Full SBML path of sMOMENT-enhanced model.") @click.option("--objective", @@ -55,7 +57,8 @@ def fba_comparison_cli(sbml_original_path: str, sbml_protein_constrained_path: s Example: Print a comparative FVA for the non-constrained model 'C:\\original.xml' and the sMOMENT-model 'C:\\pac.xml' and the objective 'ACALD': python analysis_fva_comparison.py --sbml_original_path C:\\original.xml --sbml_protein_constrained_path C:\\pac.xml --objective ACALD """ - fva_comparison_with_sbml(sbml_original_path, sbml_protein_constrained_path, objective) + fva_comparison_with_sbml( + sbml_original_path, sbml_protein_constrained_path, objective) # Start-up routine if script is called diff --git a/autopacmen/analysis_fva_prot_pool.py b/autopacmen/analysis_fva_prot_pool.py index dc6972c..c29ee9e 100644 --- a/autopacmen/analysis_fva_prot_pool.py +++ b/autopacmen/analysis_fva_prot_pool.py @@ -24,7 +24,7 @@ import click from typing import List # Internal modules -from submodules.fva_prot_pool import fva_prot_pool_with_sbml +from .submodules.fva_prot_pool import fva_prot_pool_with_sbml # Set-up command-line parameters using click decorators diff --git a/autopacmen/data_create_combined_kcat_database.py b/autopacmen/data_create_combined_kcat_database.py index c46d68b..3beab06 100644 --- a/autopacmen/data_create_combined_kcat_database.py +++ b/autopacmen/data_create_combined_kcat_database.py @@ -22,7 +22,7 @@ # External modules import click # Internal modules -from submodules.create_combined_kcat_database import create_combined_kcat_database +from .submodules.create_combined_kcat_database import create_combined_kcat_database # Set-up command-line parameters using click decorators diff --git a/autopacmen/data_parse_bigg_metabolites_file.py b/autopacmen/data_parse_bigg_metabolites_file.py index 97d6253..fda6b48 100644 --- a/autopacmen/data_parse_bigg_metabolites_file.py +++ b/autopacmen/data_parse_bigg_metabolites_file.py @@ -23,7 +23,7 @@ # External modules import click # Internal modules -from submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file +from .submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file # Set-up command-line parameters using click decorators diff --git a/autopacmen/data_parse_brenda_json_for_model.py b/autopacmen/data_parse_brenda_json_for_model.py index 5e81fe6..55ac333 100644 --- a/autopacmen/data_parse_brenda_json_for_model.py +++ b/autopacmen/data_parse_brenda_json_for_model.py @@ -23,19 +23,21 @@ # External modules import click # Internal modules -from submodules.parse_brenda_json_for_model import parse_brenda_json_for_model +from .submodules.parse_brenda_json_for_model import parse_brenda_json_for_model # Set-up command-line parameters using click decorators @click.command() @click.option("--sbml_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="Path to SBML model", help="Full path to the SBML with the model of which the BRENDA JSON will be derived.") @click.option("--brenda_json_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="BRENDA JSON path", help="Full path to the BRENDA JSON created with data_parse_brenda_textfile.py") @click.option("--json_output_path", diff --git a/autopacmen/data_parse_brenda_textfile.py b/autopacmen/data_parse_brenda_textfile.py index 76f9021..7321d75 100644 --- a/autopacmen/data_parse_brenda_textfile.py +++ b/autopacmen/data_parse_brenda_textfile.py @@ -23,7 +23,7 @@ # External modules import click # Internal modules -from submodules.parse_brenda_textfile import parse_brenda_textfile +from .submodules.parse_brenda_textfile import parse_brenda_textfile # Set-up command-line parameters using click decorators diff --git a/autopacmen/data_parse_sabio_rk_for_model.py b/autopacmen/data_parse_sabio_rk_for_model.py index a656de4..179f15c 100644 --- a/autopacmen/data_parse_sabio_rk_for_model.py +++ b/autopacmen/data_parse_sabio_rk_for_model.py @@ -24,7 +24,7 @@ # External modules import click # Internal modules -from submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml +from .submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml # Set-up command-line parameters using click decorators @click.command() diff --git a/autopacmen/docs/manual.odt b/autopacmen/docs/manual.odt index 7ff935866dd2abc1b357fa849466d44b396f93bd..67f3e1bae91db3ce2c9b6953728c66732ff923bc 100644 GIT binary patch delta 40006 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zHy~^-{bFJmh6s@X_AmJdcT$kntQaV}FqbPl+8ek8{P$zxKUv@s9GI?6Ni={oP!Z`Q#c14Ng+A#q@ZI6=jUAfyIOFBD}2+y z8|t4b{CvED?Lg~KaKjPdr4LRny(7S_r*Xk*!9lU<<;O8_p6OnL?MI&hoC{VHU5?8^ zgtEXz>DvJVbBiH5G%^9>lP~Eh{SJzcaVVc5$dqScj$42MMG(ZooDB+Pj+!k)&CL;W zc&Vi&Nuo<67yrK^EC)#gb3Yfe9j-23LBT#O0|d3e*p}c)VSyt{;bj=mXG!9i1x#4t kh=rM% 10e-10]) - median_variability = statistics.median([x for x in variabilities if x > 10e-10]) + mean_variability = statistics.mean( + [x for x in variabilities if x > 10e-10]) + median_variability = statistics.median( + [x for x in variabilities if x > 10e-10]) fva_dict["MEAN"] = {} fva_dict["MEAN"]["minimum"] = mean_minimum @@ -109,7 +117,8 @@ def split_all_reversibles(model: cobra.Model) -> cobra.Model: reverse_reaction.id += "_REV" reverse_reaction.upper_bound = -reaction.lower_bound reverse_reaction.lower_bound = 0 - reverse_reaction_metabolites_copy = copy.deepcopy(reverse_reaction.metabolites) + reverse_reaction_metabolites_copy = copy.deepcopy( + reverse_reaction.metabolites) for key in list(reverse_reaction_metabolites_copy.keys()): reverse_reaction_metabolites_copy[key] *= -2 reverse_reaction.add_metabolites(reverse_reaction_metabolites_copy) @@ -143,8 +152,10 @@ def _add_worksheet(workbook, model_name, fva_dict): name_original = "iJO1366_shut_down_scenario" name_smoment = "sMOMENT_2019_06_25_sds_mc_fm_50" -model_smoment = cobra.io.read_sbml_model("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") -model_original = cobra.io.read_sbml_model("ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml") +model_smoment = cobra.io.read_sbml_model( + "ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") +model_original = cobra.io.read_sbml_model( + "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml") model_smoment.reactions.get_by_id("EX_glc__D_e").lower_bound = -9.53 model_smoment.reactions.get_by_id("ER_pool_TG_").upper_bound = .095 @@ -187,7 +198,8 @@ def _add_worksheet(workbook, model_name, fva_dict): # Create XLSX print("Write XLSX \\o/") -workbook = xlsxwriter.Workbook(f"ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.xlsx") +workbook = xlsxwriter.Workbook( + f"ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.xlsx") workbook = _add_worksheet(workbook, name_original, fva_dict_original) workbook = _add_worksheet(workbook, name_smoment, fva_dict_smoment) diff --git a/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py b/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py index 6993e57..14dbb19 100644 --- a/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py +++ b/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py @@ -22,7 +22,7 @@ import cobra import numpy as np -from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml def fba_with_glucose_levels(model, glucose_levels, name): diff --git a/autopacmen/ec_model_2019_06_25_fva_comparison.py b/autopacmen/ec_model_2019_06_25_fva_comparison.py index 8b848d4..4125a20 100644 --- a/autopacmen/ec_model_2019_06_25_fva_comparison.py +++ b/autopacmen/ec_model_2019_06_25_fva_comparison.py @@ -18,7 +18,7 @@ """ -from submodules.fva_comparison import fva_comparison_with_sbml +from .submodules.fva_comparison import fva_comparison_with_sbml SBML_ORIGINAL: str = "./ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml" SBML_SMOMENT: str = "ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml" diff --git a/autopacmen/ec_model_2019_06_25_leucine_test.py b/autopacmen/ec_model_2019_06_25_leucine_test.py index 600ea0b..4d94b67 100644 --- a/autopacmen/ec_model_2019_06_25_leucine_test.py +++ b/autopacmen/ec_model_2019_06_25_leucine_test.py @@ -6,7 +6,8 @@ min_yield = .2 min_growth = .1 -model = cobra.io.read_sbml_model("ec_model_2019_06_25_output_optimization/iJO1366star.xml") +model = cobra.io.read_sbml_model( + "ec_model_2019_06_25_output_optimization/iJO1366star.xml") biomass_reaction = model.reactions.get_by_id(biomass_reaction_id) substrate_reaction = model.reactions.get_by_id(substrate_reaction_id) @@ -30,4 +31,5 @@ print(model.summary()) print(-solution.fluxes[substrate_reaction_id]) print(solution.fluxes[product_reaction_id]) -print(solution.fluxes[product_reaction_id] / (-solution.fluxes[substrate_reaction_id])) +print(solution.fluxes[product_reaction_id] / + (-solution.fluxes[substrate_reaction_id])) diff --git a/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py b/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py index 9ccda03..bd38061 100644 --- a/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py +++ b/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py @@ -19,7 +19,7 @@ method was followed as described in Sánchez et al., 2017. """ -from submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml +from .submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml INPUT_SBML: str = "./ec_model_2019_06_25_input/iJO1366.xml" OUTPUT_SBML: str = "iJO1366_2019_06_25_GECKO.xml" diff --git a/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py b/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py index 949efe9..e2be5cb 100644 --- a/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py +++ b/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py @@ -1,7 +1,7 @@ -import ec_model_2019_06_25_data_set_up_model +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml import cobra -model = ec_model_2019_06_25_data_set_up_model.set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml", .095) +model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml", .095) reactions_to_change = [ # Acetate diff --git a/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py b/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py index f87530e..da90e79 100644 --- a/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py +++ b/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py @@ -16,7 +16,7 @@ """ec_model_2019_06_25_optimization_apply_manual_changes.py""" import cobra -from submodules.apply_manual_changes import apply_manual_changes +from .submodules.apply_manual_changes import apply_manual_changes KCAT_CHANGE_FACTORS = { diff --git a/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py b/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py index d519bcd..ea52b0a 100644 --- a/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py +++ b/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py @@ -16,11 +16,11 @@ """ec_model_original_generate_comparable_model.py""" import cobra -from ec_model_data_set_up_model import set_up_ec_model_with_sbml -from submodules.helper_create_model import get_irreversible_model +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from .submodules.helper_create_model import get_irreversible_model model = set_up_ec_model_with_sbml("ec_model_2019_06_25_input/iJO1366.xml", .225) -model = get_irreversible_model(model) +model = get_irreversible_model(model, "_TG_") cobra.io.write_sbml_model(model, "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml") model = set_up_ec_model_with_sbml("ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml", .225) cobra.io.write_sbml_model(model, "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_SHUT_DOWN_SCENARIO.xml") diff --git a/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py b/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py index 56279ec..2032fff 100644 --- a/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py +++ b/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py @@ -22,16 +22,16 @@ # External modules import cobra # Internal modules -from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -from submodules.create_combined_kcat_database import create_combined_kcat_database -from submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml -from submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml -from submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml -from submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping -from submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file -from submodules.parse_brenda_textfile import parse_brenda_textfile -from submodules.parse_brenda_json_for_model import parse_brenda_json_for_model -from submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from .submodules.create_combined_kcat_database import create_combined_kcat_database +from .submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml +from .submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml +from .submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml +from .submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping +from .submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file +from .submodules.parse_brenda_textfile import parse_brenda_textfile +from .submodules.parse_brenda_json_for_model import parse_brenda_json_for_model +from .submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml # Step 1 diff --git a/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py b/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py index b643269..88704bb 100644 --- a/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py +++ b/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py @@ -22,9 +22,9 @@ import copy import matplotlib.pyplot as plt from scipy.stats import linregress, spearmanr -from ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source -from ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions -from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from .ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source +from .ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml with open("ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt", "r") as f: lines = f.readlines() diff --git a/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py b/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py index 42aeaf2..e7e7a58 100644 --- a/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py +++ b/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py @@ -18,7 +18,7 @@ Compares iJO1366* with a GECKOed version (Sánchez et al., 2017) of iJO1366. """ -from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml def fba_with_glucose_levels(model_gecko, model_smoment, glucose_levels, name): diff --git a/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py b/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py index 284d3ab..62a39c6 100644 --- a/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py +++ b/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py @@ -1,7 +1,9 @@ import cobra -model_original = cobra.io.read_sbml_model("ec_model_2019_06_25_input/iJO1366.xml") -model_smoment = cobra.io.read_sbml_model("ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml") +model_original = cobra.io.read_sbml_model( + "./ec_model_2019_06_25_input/iJO1366.xml") +model_smoment = cobra.io.read_sbml_model( + "./ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml") print("Original model:") print(f"Number of reactions is {len(model_original.reactions)}") diff --git a/autopacmen/modeling_create_smoment_model.py b/autopacmen/modeling_create_smoment_model.py index d566f8f..a90e0be 100644 --- a/autopacmen/modeling_create_smoment_model.py +++ b/autopacmen/modeling_create_smoment_model.py @@ -27,7 +27,8 @@ @click.command() @click.option("--input_sbml_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="Path to input SBML", help="Path to the SBML model which describes the stoichiometric metabolic model " "that shall be converted into a protein-constrained-enhanced model") diff --git a/autopacmen/modeling_get_reactions_kcat_mapping.py b/autopacmen/modeling_get_reactions_kcat_mapping.py index eec5ebf..8b69429 100644 --- a/autopacmen/modeling_get_reactions_kcat_mapping.py +++ b/autopacmen/modeling_get_reactions_kcat_mapping.py @@ -103,7 +103,8 @@ def get_reactions_kcat_mapping_cli(sbml_path: str, project_folder: str, project_ python modeling_get_reactions_kcat_mapping.py --sbml_path C:\\model\\test.xml --project_folder C:\\project\\ --project_name example --organism 'Escherichia coli' --kcat_database_path C:\\database\\database.json --protein_kcat_database_path C:\\database\\user.json --type_of_kcat_selection 'mean' """ - get_reactions_kcat_mapping(sbml_path, project_folder, project_name, organism, kcat_database_path, protein_kcat_database_path, type_of_kcat_selection) + get_reactions_kcat_mapping(sbml_path, project_folder, project_name, organism, + kcat_database_path, protein_kcat_database_path, type_of_kcat_selection) # Start-up routine if script is called diff --git a/autopacmen/submodules/create_combined_kcat_database.py b/autopacmen/submodules/create_combined_kcat_database.py index 7e6b4f8..fa465d9 100644 --- a/autopacmen/submodules/create_combined_kcat_database.py +++ b/autopacmen/submodules/create_combined_kcat_database.py @@ -21,7 +21,7 @@ # IMPORTS # Internal modules -from submodules.helper_general import json_load, json_write +from .helper_general import json_load, json_write # External modules from typing import Any, Dict, List diff --git a/autopacmen/submodules/create_gecko_model_reaction_wise.py b/autopacmen/submodules/create_gecko_model_reaction_wise.py index 8ca1198..d1c7d24 100644 --- a/autopacmen/submodules/create_gecko_model_reaction_wise.py +++ b/autopacmen/submodules/create_gecko_model_reaction_wise.py @@ -24,9 +24,9 @@ import statistics from typing import List, Dict # Internal modules -from submodules.helper_general import json_load, standardize_folder -from submodules.helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \ - read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx +from .helper_general import json_load, standardize_folder +from .helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \ + read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx # PUBLIC FUNCTIONS @@ -60,7 +60,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, basepath: str = project_folder + project_name # READ REACTIONS<->KEGG ID XLSX - protein_id_mass_mapping: Dict[str, float] = json_load(basepath+"_protein_id_mass_mapping.json") + protein_id_mass_mapping: Dict[str, float] = json_load( + basepath+"_protein_id_mass_mapping.json") # LOAD XLSX WITH PROTEIN DATA # Load protein data XLSX @@ -71,7 +72,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, read_enzyme_stoichiometries_xlsx(basepath) # Read reaction <-> kcat mapping :D - reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json") + reactions_kcat_mapping_database = json_load( + basepath + "_reactions_kcat_mapping_combined.json") all_kcats = [x["forward"] for x in reactions_kcat_mapping_database.values()] + \ [x["reverse"] for x in reactions_kcat_mapping_database.values()] all_kcats = [x for x in all_kcats if not math.isnan(x)] @@ -82,7 +84,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, # This ID addition will be added to all reactions which are modified by this method id_addition = "_TG_" # Calculate p_measured - p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping) + p_measured = get_p_measured( + protein_id_concentration_mapping, protein_id_mass_mapping) # Make model irreversible model = get_irreversible_model(model, id_addition) # Add prot_pool reaction @@ -110,7 +113,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, enzyme = cobra.Metabolite(id=protein_id+"_met", name=f"Protein {protein_id}", compartment="AutoPACMEN") - molecular_weight = protein_id_mass_mapping[protein_id] / 1000 # Mapping is in Da, GECKO uses kDa (g/mmol) + # Mapping is in Da, GECKO uses kDa (g/mmol) + molecular_weight = protein_id_mass_mapping[protein_id] / 1000 er.add_metabolites({prot_pool_metabolite: -molecular_weight, enzyme: 1}) er.lower_bound = 0 @@ -188,7 +192,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, # Add arm reaction if isozymes occur if len(gene_rule) > 1: # Isozymes occur :O - arm_reaction_id = id_addition+f"arm_reaction_{current_arm_reaction}" + arm_reaction_id = id_addition + \ + f"arm_reaction_{current_arm_reaction}" arm_reaction_name = f"Arm reaction no. {current_arm_reaction} for gene rule {str(gene_rule)}" arm_reaction = cobra.Reaction(id=arm_reaction_id, name=arm_reaction_name, @@ -228,7 +233,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, protein = model.metabolites.get_by_id(isozyme_id+"_met") reaction_id = reaction_id.split("_TG_")[0] - stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id] + stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][isozyme_id] stoichiometry /= (reaction_kcat * 3600) stoichiometry *= -1 @@ -244,7 +250,8 @@ def create_gecko_model_reaction_wise(model: cobra.Model, output_sbml_name: str, protein = model.metabolites.get_by_id(single_id+"_met") reaction_id = reaction_id.split("_TG_")[0] - stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id] + stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][single_id] stoichiometry /= (reaction_kcat * 3600) stoichiometry *= -1 diff --git a/autopacmen/submodules/create_smoment_model_reaction_wise.py b/autopacmen/submodules/create_smoment_model_reaction_wise.py index 09c99bc..05447b6 100644 --- a/autopacmen/submodules/create_smoment_model_reaction_wise.py +++ b/autopacmen/submodules/create_smoment_model_reaction_wise.py @@ -28,10 +28,10 @@ import sys from typing import Dict, List # Internal modules -from submodules.helper_general import json_load, standardize_folder -from submodules.helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \ - read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx, \ - get_model_with_separated_measured_enzyme_reactions +from .helper_general import json_load, standardize_folder +from .helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \ + read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx, \ + get_model_with_separated_measured_enzyme_reactions # PUBLIC FUNCTIONS @@ -72,7 +72,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str id_addition: str = "_TG_" # READ REACTIONS<->KEGG ID XLSX - protein_id_mass_mapping: Dict[str, float] = json_load(basepath + "_protein_id_mass_mapping.json") + protein_id_mass_mapping: Dict[str, float] = json_load( + basepath + "_protein_id_mass_mapping.json") # Load protein data XLSX protein_id_concentration_mapping, p_total, unmeasured_protein_fraction, mean_saturation = \ @@ -83,7 +84,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str read_enzyme_stoichiometries_xlsx(basepath) # Calculate p_measured - p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping) + p_measured = get_p_measured( + protein_id_concentration_mapping, protein_id_mass_mapping) # Split reactions with measured enzymes model, reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \ @@ -103,7 +105,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str unmeasured_protein_fraction, mean_saturation) # Read reaction <-> kcat mapping :-) - reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json") + reactions_kcat_mapping_database = json_load( + basepath + "_reactions_kcat_mapping_combined.json") # sMOMENT :D # Get all kcats which are not math.nan and calculate the median of them, which will be used as default kcat @@ -212,8 +215,10 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str reaction_kcat = forward_kcat # Add protein pool pseudo-metabolite depending on isozyme complex presence - stoichiometries: List[float] = [] # List of selectable MW/kcat stoichiometries (the most conservative constraint will be chosen) - stoichiometry_enzyme_name_list: List[str] = [] # List of enzyme names and stoichiometries (semicolon-separated) for a console report + # List of selectable MW/kcat stoichiometries (the most conservative constraint will be chosen) + stoichiometries: List[float] = [] + # List of enzyme names and stoichiometries (semicolon-separated) for a console report + stoichiometry_enzyme_name_list: List[str] = [] for isozyme_id in gene_rule: # If it's not a complex :O... if type(isozyme_id) is str: @@ -221,7 +226,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str reaction_id = reaction_id.split("_TG_")[0] # ...get the number of units for this protein... - number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id] + number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][isozyme_id] stoichiometry = number_units # ...and determine the protein pool stoichiometry by # 1) Multiplying the number of units for this protein with its mass (converted from kDa to mDa, since the reaction @@ -232,15 +238,19 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str # 3) Setting the right direction (educt) stoichiometry *= -1 stoichiometries.append(stoichiometry) - stoichiometry_enzyme_name_list.append(isozyme_id + ";" + str(number_units)) + stoichiometry_enzyme_name_list.append( + isozyme_id + ";" + str(number_units)) # Add proteomics constraints if isozyme_id in protein_id_concentration_mapping.keys(): - enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+isozyme_id) - stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id] + enzyme_pseudo_metabolite = model.metabolites.get_by_id( + "ENZYME_"+isozyme_id) + stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][isozyme_id] stoichiometry *= 1 / (reaction_kcat * 3600) stoichiometry *= -1 - reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry}) + reaction.add_metabolites( + {enzyme_pseudo_metabolite: stoichiometry}) # If it is a complex :O... else: # ...convert the complex IDs to a hashable tuple (used for the stoichiometry selection)... @@ -254,11 +264,13 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str reaction_id = reaction_id.split("_TG_")[0] # ...get the number of units for this protein... - number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id] + number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][single_id] single_stoichiometry = number_units # ...and determine the protein pool stoichiometry addition by # 1) Multiplying the number of units for this protein with its mass (converted from kDa to Da) - single_stoichiometry *= (protein_id_mass_mapping[single_id] / 1000) + single_stoichiometry *= ( + protein_id_mass_mapping[single_id] / 1000) # 2) Dividing it with the reaction's kcat (converted from 1/s to 1/h) single_stoichiometry /= (reaction_kcat * 3600) # 3) Setting the right direction (educt) @@ -266,7 +278,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str # 4) and add it to the complex's stoichiometry stoichiometry += single_stoichiometry # Add name of current single ID - stoichiometry_enzyme_name_list[-1] += single_id + ";" + str(number_units) + " " + stoichiometry_enzyme_name_list[-1] += single_id + \ + ";" + str(number_units) + " " stoichiometry_enzyme_name_list[-1] = stoichiometry_enzyme_name_list[-1].rstrip() # Add to list of stoichiometries stoichiometries.append(stoichiometry) @@ -274,11 +287,14 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str # Add proteomics constraints for single_id in isozyme_id: if single_id in protein_id_concentration_mapping.keys(): - enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+single_id) - stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id] + enzyme_pseudo_metabolite = model.metabolites.get_by_id( + "ENZYME_"+single_id) + stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][isozyme_id][single_id] stoichiometry *= 1 / (reaction_kcat * 3600) stoichiometry *= -1 - reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry}) + reaction.add_metabolites( + {enzyme_pseudo_metabolite: stoichiometry}) # Take the maximal stoichiometry (i.e., the one with the least cost since this one will usually be prefered # anyway in an FBA). @@ -286,7 +302,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str max_stoichiometry = max(stoichiometries) metabolites[prot_pool_metabolite] = max_stoichiometry reaction.add_metabolites(metabolites) - selected_enzyme = stoichiometry_enzyme_name_list[stoichiometries.index(max_stoichiometry)] + selected_enzyme = stoichiometry_enzyme_name_list[stoichiometries.index( + max_stoichiometry)] # Print report of selected kcat and molecular weight for this reaction print("Reaction: ", model_reaction_id) @@ -297,7 +314,8 @@ def create_smoment_model_reaction_wise(model: cobra.Model, output_sbml_name: str for single_enzyme in selected_enzyme.split(" "): enzyme_name = single_enzyme.split(";")[0] enzyme_unit_number = float(single_enzyme.split(";")[1]) - mass_sum += protein_id_mass_mapping[enzyme_name] * enzyme_unit_number + mass_sum += protein_id_mass_mapping[enzyme_name] * \ + enzyme_unit_number print(mass_sum) else: # Single enzyme enzyme_name = selected_enzyme.split(";")[0] diff --git a/autopacmen/submodules/fva_prot_pool.py b/autopacmen/submodules/fva_prot_pool.py index 55f9d7b..ebc4eae 100644 --- a/autopacmen/submodules/fva_prot_pool.py +++ b/autopacmen/submodules/fva_prot_pool.py @@ -44,11 +44,14 @@ def fva_prot_pool(model: cobra.Model, pp_upper_bounds: List[float], objective: s with model: if objective != "": model.objective = objective - model.reactions.get_by_id("ER_pool_TG_").upper_bound = pp_upper_bound + model.reactions.get_by_id( + "ER_pool_TG_").upper_bound = pp_upper_bound solution = model.optimize() - print(f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:") + print( + f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:") model.summary(fva=1.0) - print(abs(solution.fluxes.EX_glc__D_e) / abs(solution.fluxes.EX_ac_e)) + print(abs(solution.fluxes.EX_glc__D_e) / + abs(solution.fluxes.EX_ac_e)) model.metabolites.prot_pool.summary() diff --git a/autopacmen/submodules/get_differential_reactions.py b/autopacmen/submodules/get_differential_reactions.py index 6c1ea76..46dc578 100644 --- a/autopacmen/submodules/get_differential_reactions.py +++ b/autopacmen/submodules/get_differential_reactions.py @@ -66,7 +66,8 @@ def get_all_differential_reactions(scenario_names: List[str], flux_control_files """ for c_source in scenario_names: filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{c_source}.txt" - differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold) + differential_reactions = _get_differential_reactions_from_flux_control_file( + filepath, threshold) differential_reactions = list(set(differential_reactions)) return differential_reactions @@ -105,7 +106,8 @@ def get_differential_reactions(scenario_names: List[str], flux_control_files_pat differential_reactions_by_scenario: Dict[str, List[str]] = {} for scenario_name in scenario_names: filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{scenario_name}.txt" - differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold) + differential_reactions = _get_differential_reactions_from_flux_control_file( + filepath, threshold) differential_reactions_by_scenario[scenario_name] = differential_reactions # Check for substitution name @@ -128,11 +130,14 @@ def get_differential_reactions(scenario_names: List[str], flux_control_files_pat del(scenario_names[old_index]) if new_name in differential_reactions_by_scenario.keys(): - combined_list = list(set(differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name])) - differential_reactions_by_scenario[new_name] = copy.deepcopy(combined_list) + combined_list = list(set( + differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name])) + differential_reactions_by_scenario[new_name] = copy.deepcopy( + combined_list) else: scenario_names.append(new_name) - differential_reactions_by_scenario[new_name] = copy.deepcopy(differential_reactions_by_scenario[old_name]) + differential_reactions_by_scenario[new_name] = copy.deepcopy( + differential_reactions_by_scenario[old_name]) del(differential_reactions_by_scenario[old_name]) # Get the unique differential reactions by checking each differential reaction of a scenario @@ -141,7 +146,8 @@ def get_differential_reactions(scenario_names: List[str], flux_control_files_pat unique_differential_reactions_of_scenario: Dict[str, List[str]] = {} for scenario_name in scenario_names: differential_reactions_of_scenario = differential_reactions_by_scenario[scenario_name] - all_differential_proteins.append(set(differential_reactions_of_scenario)) + all_differential_proteins.append( + set(differential_reactions_of_scenario)) other_differential_reactions: List[str] = [] for other_c_source in scenario_names: @@ -156,7 +162,8 @@ def get_differential_reactions(scenario_names: List[str], flux_control_files_pat print("Unique differential reactions of "+scenario_name+":") print(unique_differential_reactions_of_single_scenario) - differential_reactions_of_all_scenarios = set.intersection(*all_differential_proteins) + differential_reactions_of_all_scenarios = set.intersection( + *all_differential_proteins) if print_result: print("Differential reactions of all C sources:") print(differential_reactions_of_all_scenarios) diff --git a/autopacmen/submodules/get_initial_spreadsheets.py b/autopacmen/submodules/get_initial_spreadsheets.py index ec8976f..ed6ced7 100644 --- a/autopacmen/submodules/get_initial_spreadsheets.py +++ b/autopacmen/submodules/get_initial_spreadsheets.py @@ -28,8 +28,8 @@ import xlsxwriter from typing import Any, Dict, List, Union # Internal modules -from submodules.kegg import kegg_rest_get_batch -from submodules.helper_general import standardize_folder +from .kegg import kegg_rest_get_batch +from .helper_general import standardize_folder # INTERNAL FUNCTIONS SECTION diff --git a/autopacmen/submodules/get_protein_mass_mapping.py b/autopacmen/submodules/get_protein_mass_mapping.py index 95fd76a..f1ec370 100644 --- a/autopacmen/submodules/get_protein_mass_mapping.py +++ b/autopacmen/submodules/get_protein_mass_mapping.py @@ -26,7 +26,7 @@ from Bio.SeqUtils.ProtParam import ProteinAnalysis from typing import Dict, List # Internal modules -from submodules.helper_general import ensure_folder_existence, get_files, json_write, pickle_write, pickle_load, standardize_folder +from .helper_general import ensure_folder_existence, get_files, json_write, pickle_write, pickle_load, standardize_folder # PUBLIC FUNCTIONS SECTION diff --git a/autopacmen/submodules/get_reactions_kcat_mapping.py b/autopacmen/submodules/get_reactions_kcat_mapping.py index e57048a..03360e5 100644 --- a/autopacmen/submodules/get_reactions_kcat_mapping.py +++ b/autopacmen/submodules/get_reactions_kcat_mapping.py @@ -28,8 +28,8 @@ import statistics from typing import Any, Dict, List # Internal modules -import submodules.ncbi_taxonomy as ncbi_taxonomy -from submodules.helper_general import ensure_folder_existence, get_files, json_load, json_write, pickle_load, pickle_write, standardize_folder +from .ncbi_taxonomy import get_entrez_id_from_organism_full_name_batch, get_taxonomy_from_organism_ncbi_id_batch, most_taxonomic_similar +from .helper_general import ensure_folder_existence, get_files, json_load, json_write, pickle_load, pickle_write, standardize_folder # PRIVATE FUNCTIONS @@ -141,8 +141,8 @@ def _get_kcat_list(searched_metabolites: List[str], complete_entry: Dict[str, An # taxonomy dict which includes 'NOT FOUND' for all non-found organisms and the # taxonomies for each found organism. if len(species_to_search) > 0: - ncbi_ids = ncbi_taxonomy.get_entrez_id_from_organism_full_name_batch(species_to_search) - taxonomy_dict_search = ncbi_taxonomy.get_taxonomy_from_organism_ncbi_id_batch(ncbi_ids) + ncbi_ids = get_entrez_id_from_organism_full_name_batch(species_to_search) + taxonomy_dict_search = get_taxonomy_from_organism_ncbi_id_batch(ncbi_ids) for searched_species in species_to_search: if searched_species not in taxonomy_dict_search.keys(): @@ -160,7 +160,7 @@ def _get_kcat_list(searched_metabolites: List[str], complete_entry: Dict[str, An # Process the taxonomies in order to find the taxonomic distances of the given organism to the organisms # which are present in the kcat entries. - score_dict = ncbi_taxonomy.most_taxonomic_similar(organism, full_taxonomy_dict) + score_dict = most_taxonomic_similar(organism, full_taxonomy_dict) for species in full_taxonomy_dict.keys(): if species not in score_dict: score_dict[species] = max(score_dict.values())+1 diff --git a/autopacmen/submodules/helper_create_model.py b/autopacmen/submodules/helper_create_model.py index 2d8bdc1..0301657 100644 --- a/autopacmen/submodules/helper_create_model.py +++ b/autopacmen/submodules/helper_create_model.py @@ -26,7 +26,7 @@ import openpyxl from typing import Any, Dict, List # Internal modules -from submodules.helper_general import get_float_cell_value +from .helper_general import get_float_cell_value # PRIVATE FUNCTIONS @@ -64,12 +64,14 @@ def _read_stoichiometries_worksheet(workbook: openpyxl.Workbook): if current_cell == 1: reaction_id = cell.value reaction_id_gene_rules_mapping[reaction_id] = [] - reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id] = { + } elif ((current_cell-1) % 2) != 0: gene_rule_or_part = str(cell.value) if "[" in gene_rule_or_part: gene_rule_or_part = tuple(eval(gene_rule_or_part)) - reaction_id_gene_rules_mapping[reaction_id].append(gene_rule_or_part) + reaction_id_gene_rules_mapping[reaction_id].append( + gene_rule_or_part) else: stoichiometry = str(cell.value) stoichiometries = stoichiometry.split(";") @@ -81,7 +83,8 @@ def _read_stoichiometries_worksheet(workbook: openpyxl.Workbook): else: single_protein = gene_rule_or_part if gene_rule_or_part not in reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id].keys(): - reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part] = { + } reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part][single_protein] = \ float(single_stoichiometry) i += 1 @@ -116,7 +119,8 @@ def add_prot_pool_reaction(model: cobra.Model, id_addition: str, pp_reaction.name = "prot_pool reaction for unmeasured proteins" pp_reaction.subsystem = "AutoPACMEN" pp_reaction.lower_bound = 0 - pp_reaction.upper_bound = (p_total - p_measured) * unmeasured_protein_fraction * mean_saturation + pp_reaction.upper_bound = (p_total - p_measured) * \ + unmeasured_protein_fraction * mean_saturation # The flux is in g/gDW prot_pool_metabolite = cobra.Metabolite( "prot_pool", @@ -145,10 +149,12 @@ def apply_scenario_on_model(model: cobra.Model, scenario: Dict[str, Any]) -> cob reaction_setup = scenario["setup"][reaction_to_set_up] if "lower_bound" in reaction_setup.keys(): new_lower_bound = reaction_setup["lower_bound"] - model.reactions.get_by_id(reaction_to_set_up).lower_bound = new_lower_bound + model.reactions.get_by_id( + reaction_to_set_up).lower_bound = new_lower_bound if "upper_bound" in reaction_setup.keys(): new_upper_bound = reaction_setup["upper_bound"] - model.reactions.get_by_id(reaction_to_set_up).upper_bound = new_upper_bound + model.reactions.get_by_id( + reaction_to_set_up).upper_bound = new_upper_bound # Return changed model :D return model @@ -181,7 +187,8 @@ def get_irreversible_model(model: cobra.Model, id_addition: str) -> cobra.Model: forward_reaction.upper_bound = reaction.upper_bound forward_reaction.lower_bound = 0 forward_reaction.id += id_addition + "forward" - forward_reaction_metabolites_copy = copy.deepcopy(forward_reaction.metabolites) + forward_reaction_metabolites_copy = copy.deepcopy( + forward_reaction.metabolites) for key in list(forward_reaction_metabolites_copy.keys()): if key.id.startswith("armm_"): if key.id.endswith("reverse"): @@ -197,7 +204,8 @@ def get_irreversible_model(model: cobra.Model, id_addition: str) -> cobra.Model: reverse_reaction.id += id_addition + "reverse" reverse_reaction.upper_bound = -reaction.lower_bound reverse_reaction.lower_bound = 0 - reverse_reaction_metabolites_copy = copy.deepcopy(reverse_reaction.metabolites) + reverse_reaction_metabolites_copy = copy.deepcopy( + reverse_reaction.metabolites) for key in list(reverse_reaction_metabolites_copy.keys()): if not key.id.startswith("armm_"): reverse_reaction_metabolites_copy[key] *= -2 @@ -327,21 +335,25 @@ def get_model_with_separated_measured_enzyme_reactions(model: cobra.Model, prote new_gene_reaction_rule = "" reaction_id_gene_rules_mapping[new_reaction.id] = [] - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = { + } for element in unmeasured_elements: reaction_id_gene_rules_mapping[new_reaction.id].append(element) if type(element) is tuple: for subelement in element: if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys(): - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = { + } reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \ - reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement] + reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][element][subelement] if len(new_gene_reaction_rule) > 0: new_gene_reaction_rule += " or " new_gene_reaction_rule += "(" + " and ".join(element) + ")" else: reaction_id_gene_rules_mapping[new_reaction.id].append(element) - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = { + } reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \ reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element] if len(new_gene_reaction_rule) > 0: @@ -353,7 +365,8 @@ def get_model_with_separated_measured_enzyme_reactions(model: cobra.Model, prote if reaction.lower_bound >= 0: new_reaction.add_metabolites({arm_metabolite: 1}) else: - new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1}) + new_reaction.add_metabolites( + {arm_metabolite_fwd: 1, arm_metabolite_rev: 1}) if new_gene_reaction_rule != "": # print(f"Adding splitted reaction {new_reaction.id}") @@ -367,18 +380,22 @@ def get_model_with_separated_measured_enzyme_reactions(model: cobra.Model, prote for element in measured_elements: new_reaction = copy.deepcopy(reaction) new_reaction.id += "_GPRSPLIT_"+str(current_split_no) - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = { + } current_split_no += 1 reaction_id_gene_rules_mapping[new_reaction.id] = [element] if type(element) is tuple: for subelement in element: if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys(): - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = { + } reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \ - reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement] + reaction_id_gene_rules_protein_stoichiometry_mapping[ + reaction_id][element][subelement] new_reaction.gene_reaction_rule = " and ".join(element) else: - reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {} + reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = { + } reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \ reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element] new_reaction.gene_reaction_rule = element @@ -388,7 +405,8 @@ def get_model_with_separated_measured_enzyme_reactions(model: cobra.Model, prote if reaction.lower_bound >= 0: new_reaction.add_metabolites({arm_metabolite: 1}) else: - new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1}) + new_reaction.add_metabolites( + {arm_metabolite_fwd: 1, arm_metabolite_rev: 1}) model.add_reactions([new_reaction]) # print(reaction_id_gene_rules_mapping[new_reaction.id]) model.remove_reactions([reaction]) @@ -409,9 +427,13 @@ def get_p_measured(protein_id_concentration_mapping: Dict[str, float], p_measured = .0 measured_protein_ids = (protein_id_concentration_mapping.keys()) for measured_protein_id in measured_protein_ids: - protein_concentration = protein_id_concentration_mapping[measured_protein_id] # mmol/gDW - protein_mass = protein_id_mass_mapping[measured_protein_id] # Da = g/mol - protein_mass_concentration = (protein_concentration/1000) * protein_mass # (mol/gDW) * (g/mol) = g/gDW + # mmol/gDW + protein_concentration = protein_id_concentration_mapping[measured_protein_id] + # Da = g/mol + protein_mass = protein_id_mass_mapping[measured_protein_id] + # (mol/gDW) * (g/mol) = g/gDW + protein_mass_concentration = ( + protein_concentration/1000) * protein_mass p_measured += protein_mass_concentration return p_measured @@ -423,7 +445,8 @@ def read_enzyme_stoichiometries_xlsx(basepath: str): ---------- * basepath: str ~ The path in which the XLSX can be found. """ - workbook = openpyxl.load_workbook(filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True) + workbook = openpyxl.load_workbook( + filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True) reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \ _read_stoichiometries_worksheet(workbook) @@ -449,14 +472,16 @@ def read_protein_data_xlsx(basepath: str): enzymes. """ protein_id_concentration_mapping: Dict[str, float] = {} - workbook = openpyxl.load_workbook(filename=basepath+"_protein_data.xlsx", read_only=True) + workbook = openpyxl.load_workbook( + filename=basepath+"_protein_data.xlsx", read_only=True) worksheet = workbook["Total protein data"] p_total_value = worksheet.cell(row=1, column=2).value unmeasured_protein_fraction_value = worksheet.cell(row=2, column=2).value mean_saturation_value = worksheet.cell(row=3, column=2).value p_total = get_float_cell_value(p_total_value) - unmeasured_protein_fraction = get_float_cell_value(unmeasured_protein_fraction_value) + unmeasured_protein_fraction = get_float_cell_value( + unmeasured_protein_fraction_value) mean_saturation = get_float_cell_value(mean_saturation_value) worksheet2 = workbook["Single protein data"] @@ -466,7 +491,8 @@ def read_protein_data_xlsx(basepath: str): if protein_id is None: break protein_concentration_value = worksheet2.cell(row=row, column=2).value - protein_concentration = get_float_cell_value(protein_concentration_value) + protein_concentration = get_float_cell_value( + protein_concentration_value) protein_id_concentration_mapping[protein_id] = protein_concentration row += 1 diff --git a/autopacmen/submodules/kegg.py b/autopacmen/submodules/kegg.py index bc54d5c..eef7bab 100644 --- a/autopacmen/submodules/kegg.py +++ b/autopacmen/submodules/kegg.py @@ -38,7 +38,8 @@ def get_full_organism_name_from_kegg_id(organism_kegg_id): # Use the KEGG API's "info" function kegg_organism_info = kegg_rest("info", organism_kegg_id) # The name is after many spaces and without unneccesary spaces at the beginning and the end - organism_full_name = kegg_organism_info[0].split(" ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip() + organism_full_name = kegg_organism_info[0].split( + " ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip() # Return the retrieved name :D return organism_full_name @@ -99,7 +100,8 @@ def kegg_rest_get_batch(input_ids: List[str], batch_size: int = 4) -> List[List[ batched_input_ids: List[str] = [] current_batch_start = 0 while current_batch_start < len(input_ids): - combined_input_ids = "+".join(input_ids[current_batch_start:current_batch_start + batch_size]) + combined_input_ids = "+".join( + input_ids[current_batch_start:current_batch_start + batch_size]) batched_input_ids.append(combined_input_ids) current_batch_start += batch_size diff --git a/autopacmen/submodules/ncbi_taxonomy.py b/autopacmen/submodules/ncbi_taxonomy.py index d122bbe..9b642f1 100644 --- a/autopacmen/submodules/ncbi_taxonomy.py +++ b/autopacmen/submodules/ncbi_taxonomy.py @@ -109,7 +109,8 @@ def get_entrez_id_from_organism_full_name_batch(organism_full_names: List[str]) organism_ncbi_ids = record["IdList"][::-1] # txid+NUMBER+[ORGN] is the form that is used for NCBI BLASTP searches to restrict a search # to an organism using the Entrez query constraint input. - organism_ncbi_ids_result += ["txid"+x+"[ORGN]" for x in organism_ncbi_ids] + organism_ncbi_ids_result += ["txid"+x + + "[ORGN]" for x in organism_ncbi_ids] batch_start += NCBI_BATCH_SIZE time.sleep(WAIT_TIME) diff --git a/autopacmen/submodules/parse_bigg_metabolites_file.py b/autopacmen/submodules/parse_bigg_metabolites_file.py index c3023e0..1fe6d70 100644 --- a/autopacmen/submodules/parse_bigg_metabolites_file.py +++ b/autopacmen/submodules/parse_bigg_metabolites_file.py @@ -21,7 +21,7 @@ # IMPORTS # Internal modules -from submodules.helper_general import json_write, standardize_folder +from .helper_general import json_write, standardize_folder # PUBLIC FUNCTIONS SECTIONS @@ -78,4 +78,5 @@ def parse_bigg_metabolites_file(bigg_metabolites_file_path: str, json_output_fol bigg_id_name_mapping[bigg_id] = bigg_id # Write the JSON in the given folder :D - json_write(json_output_folder+"bigg_id_name_mapping.json", bigg_id_name_mapping) + json_write(json_output_folder+"bigg_id_name_mapping.json", + bigg_id_name_mapping) diff --git a/autopacmen/submodules/parse_brenda_json_for_model.py b/autopacmen/submodules/parse_brenda_json_for_model.py index f6d83d7..6b026f6 100644 --- a/autopacmen/submodules/parse_brenda_json_for_model.py +++ b/autopacmen/submodules/parse_brenda_json_for_model.py @@ -24,7 +24,7 @@ import cobra import copy # Internal modules -from submodules.helper_general import is_fitting_ec_numbers, json_load, json_write +from .helper_general import is_fitting_ec_numbers, json_load, json_write from typing import Any, Dict, List @@ -111,7 +111,8 @@ def parse_brenda_json_for_model(sbml_path: str, brenda_json_path: str, output_js for ec_number in ec_numbers_of_model: entry_error = False if ec_number in brenda_kcat_database_original.keys(): - ec_number_entry = _get_transfer_ec_number_entry(ec_number, brenda_kcat_database_original) + ec_number_entry = _get_transfer_ec_number_entry( + ec_number, brenda_kcat_database_original) if "ERROR" in ec_number_entry.keys(): entry_error = True else: @@ -123,9 +124,11 @@ def parse_brenda_json_for_model(sbml_path: str, brenda_json_path: str, output_js for wildcard_level in range(1, 5): for database_ec_number in list(brenda_kcat_database_original.keys()): if is_fitting_ec_numbers(ec_number, database_ec_number, wildcard_level): - database_ec_number_entry = _get_transfer_ec_number_entry(database_ec_number, brenda_kcat_database_original) + database_ec_number_entry = _get_transfer_ec_number_entry( + database_ec_number, brenda_kcat_database_original) if "ERROR" not in database_ec_number_entry.keys(): - eligible_ec_number_entries.append(database_ec_number_entry) + eligible_ec_number_entries.append( + database_ec_number_entry) if len(eligible_ec_number_entries) > 0: break ec_number_entry = {} @@ -135,7 +138,8 @@ def parse_brenda_json_for_model(sbml_path: str, brenda_json_path: str, output_js if metabolite_key not in ec_number_entry.keys(): ec_number_entry[metabolite_key] = metabolite_entry else: - ec_number_entry[metabolite_key] = {**ec_number_entry[metabolite_key], **metabolite_entry} + ec_number_entry[metabolite_key] = { + **ec_number_entry[metabolite_key], **metabolite_entry} ec_number_entry["WILDCARD"] = True brenda_kcat_database_for_model[ec_number] = ec_number_entry diff --git a/autopacmen/submodules/parse_brenda_textfile.py b/autopacmen/submodules/parse_brenda_textfile.py index df20583..feff149 100644 --- a/autopacmen/submodules/parse_brenda_textfile.py +++ b/autopacmen/submodules/parse_brenda_textfile.py @@ -22,7 +22,7 @@ # External modules from typing import Any, Dict, List # Internal modules -from submodules.helper_general import json_write, json_load, standardize_folder +from .helper_general import json_write, json_load, standardize_folder # PUBLIC FUNCTIONS SECTION @@ -74,10 +74,12 @@ def parse_brenda_textfile(brenda_textfile_path: str, bigg_metabolites_json_folde 'REST' stands for a substrate without found BIGG ID. """ # Standardize output folder - bigg_metabolites_json_folder = standardize_folder(bigg_metabolites_json_folder) + bigg_metabolites_json_folder = standardize_folder( + bigg_metabolites_json_folder) # Load BIGG ID <-> metabolite name mapping :D - bigg_id_name_mapping: Dict[str, str] = json_load(bigg_metabolites_json_folder+"bigg_id_name_mapping.json") + bigg_id_name_mapping: Dict[str, str] = json_load( + bigg_metabolites_json_folder+"bigg_id_name_mapping.json") # Load BRENDA textfile as list of strings without newlines :D with open(brenda_textfile_path, "r", encoding="utf-8") as f: @@ -145,11 +147,13 @@ def parse_brenda_textfile(brenda_textfile_path: str, bigg_metabolites_json_folde try: brenda_kcat_database[actual_ec_number] = {} brenda_kcat_database[actual_ec_number]["TRANSFER"] = \ - ec_number.lower().replace(" ", " ").split("(transferred to ec")[1].replace(")", "").lstrip() + ec_number.lower().replace(" ", " ").split( + "(transferred to ec")[1].replace(")", "").lstrip() except Exception: # Some transfers go to general subgroups instead of single EC numbers so that # no kcat database can be built from it D: - print("WARNING: BRENDA text file line " + ec_number + " is not interpretable!") + print("WARNING: BRENDA text file line " + + ec_number + " is not interpretable!") continue brenda_kcat_database[ec_number] = {} @@ -160,17 +164,18 @@ def parse_brenda_textfile(brenda_textfile_path: str, bigg_metabolites_json_folde reference_number = organism_line.split("#")[1] organism_line_split_first_part = organism_line.split("# ")[1] organism_line_split = organism_line_split_first_part.split(" ") - organism_line_split = [x for x in organism_line_split if len(x) > 0] + organism_line_split = [ + x for x in organism_line_split if len(x) > 0] end = 1 for part in organism_line_split: # Some organism names contain their SwissProt or UniProt ID, # since we don't nned them they are excluded if ("swissprot" in part.lower()) or \ - (part.lower() == "and") or \ - ("uniprot" in part.lower()) or \ - ("genbank" in part.lower()) or \ - ("trembl" in part.lower()): + (part.lower() == "and") or \ + ("uniprot" in part.lower()) or \ + ("genbank" in part.lower()) or \ + ("trembl" in part.lower()): end -= 2 break @@ -191,7 +196,8 @@ def parse_brenda_textfile(brenda_textfile_path: str, bigg_metabolites_json_folde continue reference_number = kcat_line.split("#")[1].split(",")[0] organism = reference_number_organism_mapping[reference_number] - kcat_str = "".join(kcat_line.split("#")[2]).split("{")[0].lstrip().rstrip() + kcat_str = "".join(kcat_line.split("#")[2]).split("{")[ + 0].lstrip().rstrip() kcat = max([float(x) for x in kcat_str.split("-") if len(x) > 0]) substrate = "".join(kcat_line.split("{")[1]).split("}")[0] diff --git a/autopacmen/submodules/parse_sabio_rk.py b/autopacmen/submodules/parse_sabio_rk.py index 3a8c37a..0894a12 100644 --- a/autopacmen/submodules/parse_sabio_rk.py +++ b/autopacmen/submodules/parse_sabio_rk.py @@ -28,7 +28,7 @@ import time from typing import Any, Dict, List # Internal libraries -from submodules.helper_general import ensure_folder_existence, get_files, is_fitting_ec_numbers, json_load, json_write +from .helper_general import ensure_folder_existence, get_files, is_fitting_ec_numbers, json_load, json_write # SCRIPT-WIDE CONSTANTS diff --git a/autopacmen/submodules/parse_sabio_rk_for_model.py b/autopacmen/submodules/parse_sabio_rk_for_model.py index 7fb48ca..be23531 100644 --- a/autopacmen/submodules/parse_sabio_rk_for_model.py +++ b/autopacmen/submodules/parse_sabio_rk_for_model.py @@ -24,8 +24,8 @@ import cobra from typing import List # Internal modules -import submodules.parse_sabio_rk as sabio_rk -from submodules.helper_general import json_write +from .parse_sabio_rk import get_ec_number_kcats_wildcard_search +from .helper_general import json_write # PUBLIC FUNCTIONS SECTION @@ -82,7 +82,8 @@ def parse_sabio_rk_for_model(model: cobra.Model, json_output_path: str, bigg_id_ ec_numbers_list = list(set(ec_numbers_list)) # GET KCATS FOR EC NUMBERS - ec_number_kcat_mapping = sabio_rk.get_ec_number_kcats_wildcard_search(ec_numbers_list, bigg_id_name_mapping_path) + ec_number_kcat_mapping = get_ec_number_kcats_wildcard_search( + ec_numbers_list, bigg_id_name_mapping_path) json_write(json_output_path, ec_number_kcat_mapping) @@ -97,4 +98,5 @@ def parse_sabio_rk_for_model_with_sbml(sbml_path: str, json_output_path: str, bi """ # LOAD SBML MODEL model: cobra.Model = cobra.io.read_sbml_model(sbml_path) - parse_sabio_rk_for_model(model, json_output_path, bigg_id_name_mapping_path) + parse_sabio_rk_for_model(model, json_output_path, + bigg_id_name_mapping_path) diff --git a/autopacmen/submodules/reaction_flux_control_by_scenario.py b/autopacmen/submodules/reaction_flux_control_by_scenario.py index 0dd8e4f..b045228 100644 --- a/autopacmen/submodules/reaction_flux_control_by_scenario.py +++ b/autopacmen/submodules/reaction_flux_control_by_scenario.py @@ -22,8 +22,8 @@ # External modules import cobra # Internal modules -from submodules.helper_create_model import apply_scenario_on_model -from submodules.helper_general import standardize_folder +from .helper_create_model import apply_scenario_on_model +from .helper_general import standardize_folder # PRIVATE FUNCTIONS @@ -65,7 +65,8 @@ def _reaction_flux_control(model: cobra.Model, output_folder: str, project_name: continue # Proceed only if the raction has a protein constraint - is_with_protein_pool = "prot_pool" in [x.id for x in reaction.metabolites] + is_with_protein_pool = "prot_pool" in [ + x.id for x in reaction.metabolites] if not is_with_protein_pool: continue @@ -74,7 +75,8 @@ def _reaction_flux_control(model: cobra.Model, output_folder: str, project_name: # to the original solution with model: prot_pool_stoichiometry = reaction.metabolites[prot_pool_metabolite] - reaction.subtract_metabolites({prot_pool_metabolite: prot_pool_stoichiometry}) + reaction.subtract_metabolites( + {prot_pool_metabolite: prot_pool_stoichiometry}) solution = model.optimize() base_solution_flux = base_solution.fluxes[objective] changed_solution_flux = solution.fluxes[objective] @@ -123,7 +125,8 @@ def reaction_flux_control_by_scenario(model: cobra.Model, output_folder: str, pr objective = scenario["target"]["reaction"] with model: model = apply_scenario_on_model(model, scenario) - _reaction_flux_control(model, output_folder, project_name, scenario_key, objective) + _reaction_flux_control(model, output_folder, + project_name, scenario_key, objective) """ diff --git a/setup.py b/setup.py index 5ecc051..8820da3 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="autopacmen-Paulocracy", - version="0.5.6", + version="0.5.7.5", author="Paulocracy", author_email="bekiaris@mpi-magdeburg.mpg.de", description="The AutoPACMEN package", From 400f664dbd162723d78ed192b825a57102461b1e Mon Sep 17 00:00:00 2001 From: Paulocracy <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 10 Nov 2020 14:42:22 +0100 Subject: [PATCH 4/5] Reorganize repository structure --- .../README.md | 2 +- ..._06_25_manual_changes_change_factor_50.mat | Bin ...mization_run_fmincon_ec_model_2019_06_25.m | 0 .../optimization_scenarios.json | 0 .../p_apply_scenario_on_model.m | 0 .../p_get_objective_value_for_kcats.m | 0 .../p_get_objective_value_for_prot_pool.m | 0 .../smoment_kcat_optimization.m | 0 .../smoment_prot_pool_optimization.m | 0 ..._06_25_manual_changes_change_factor_50.mat | Bin README.md | 55 +++--- autopacmen/docs/manual.odt | Bin 47920 -> 0 bytes autopacmen/docs/manual.pdf | Bin 585533 -> 0 bytes ...c_model_2019_06_25_sMOMENT_iJO_CREATION.py | 97 ----------- .../autopacmen/analysis_fva_comparison.html | 11 +- .../autopacmen/analysis_fva_prot_pool.html | 2 +- .../data_create_combined_kcat_database.html | 4 +- .../data_parse_bigg_metabolites_file.html | 2 +- .../data_parse_brenda_json_for_model.html | 8 +- .../data_parse_brenda_textfile.html | 8 +- 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iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Alanine.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Lactate.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Malate.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Maltose.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannitol.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannose.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_N-acetylglucosamine.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Oxoglutarate.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Pyruvate.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Ribose.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Sorbitol.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Succinate.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Trehalose.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Xylose.txt (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_output_optimization/iJO1366star.xml (100%) create mode 100644 iJO1366star/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py (87%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_fva/Comparison_with_Monk_values_R2_87__spearman_p_value_2-9.png (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.png (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.xlsx (100%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py (86%) rename {autopacmen => iJO1366star}/ec_model_2019_06_25_test_properties_original_and_smoment_model.py (75%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/README_MCS_analysis_scripts.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/compare_mcs.py (68%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/mcs_analysis.xlsx (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/mcs_analysis_run_2019_06_25.m (86%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/p_mcs_analysis.m (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_ethanol/geckoed.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_ethanol/geckoed_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_ethanol/original.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_ethanol/original_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_leucine/geckoed.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_leucine/geckoed_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_leucine/original.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_leucine/original_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_succinate/geckoed.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_succinate/geckoed_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_succinate/original.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_succinate/original_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_valine/geckoed.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_valine/geckoed_6.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_valine/original.txt (100%) rename {autopacmen/iJOstar_MCS_analysis_scripts => iJO1366star/iJO1366star_MCS_analysis_scripts}/results_valine/original_6.txt (100%) diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/README_Model_Calibrator_MATLAB.txt b/AutoPACMEN_Model_Calibrator_MATLAB/README.md similarity index 93% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/README_Model_Calibrator_MATLAB.txt rename to AutoPACMEN_Model_Calibrator_MATLAB/README.md index c6a309f..a643b23 100644 --- a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/README_Model_Calibrator_MATLAB.txt +++ b/AutoPACMEN_Model_Calibrator_MATLAB/README.md @@ -5,5 +5,5 @@ for an example of the Model Calibrator's kcat optimization method usage. NOTE: You have to change the paths to the iJO1366*C model (see Supplementary File 1) to its location on your system in order to rerun "kcat_optimization_run_fmincon_ec_model_2019_06_25.m". -MATLAB scripts starting with "p_" are considered "private" scripts which are not intended for a direct +MATLAB scripts starting with "p_" are considered "private" scripts which are not intended for direct usage by the user and are therefore not documented in the manual. diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/best_values_2019_06_25_manual_changes_change_factor_50.mat b/AutoPACMEN_Model_Calibrator_MATLAB/best_values_2019_06_25_manual_changes_change_factor_50.mat similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/best_values_2019_06_25_manual_changes_change_factor_50.mat rename to AutoPACMEN_Model_Calibrator_MATLAB/best_values_2019_06_25_manual_changes_change_factor_50.mat diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/kcat_optimization_run_fmincon_ec_model_2019_06_25.m b/AutoPACMEN_Model_Calibrator_MATLAB/kcat_optimization_run_fmincon_ec_model_2019_06_25.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/kcat_optimization_run_fmincon_ec_model_2019_06_25.m rename to AutoPACMEN_Model_Calibrator_MATLAB/kcat_optimization_run_fmincon_ec_model_2019_06_25.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/optimization_scenarios.json b/AutoPACMEN_Model_Calibrator_MATLAB/optimization_scenarios.json similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/optimization_scenarios.json rename to AutoPACMEN_Model_Calibrator_MATLAB/optimization_scenarios.json diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_apply_scenario_on_model.m b/AutoPACMEN_Model_Calibrator_MATLAB/p_apply_scenario_on_model.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_apply_scenario_on_model.m rename to AutoPACMEN_Model_Calibrator_MATLAB/p_apply_scenario_on_model.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_kcats.m b/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_kcats.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_kcats.m rename to AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_kcats.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_prot_pool.m b/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_prot_pool.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_prot_pool.m rename to AutoPACMEN_Model_Calibrator_MATLAB/p_get_objective_value_for_prot_pool.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/smoment_kcat_optimization.m b/AutoPACMEN_Model_Calibrator_MATLAB/smoment_kcat_optimization.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/smoment_kcat_optimization.m rename to AutoPACMEN_Model_Calibrator_MATLAB/smoment_kcat_optimization.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/smoment_prot_pool_optimization.m b/AutoPACMEN_Model_Calibrator_MATLAB/smoment_prot_pool_optimization.m similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/smoment_prot_pool_optimization.m rename to AutoPACMEN_Model_Calibrator_MATLAB/smoment_prot_pool_optimization.m diff --git a/autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/start_values_2019_06_25_manual_changes_change_factor_50.mat b/AutoPACMEN_Model_Calibrator_MATLAB/start_values_2019_06_25_manual_changes_change_factor_50.mat similarity index 100% rename from autopacmen/AutoPACMEN_Model_Calibrator_MATLAB/start_values_2019_06_25_manual_changes_change_factor_50.mat rename to AutoPACMEN_Model_Calibrator_MATLAB/start_values_2019_06_25_manual_changes_change_factor_50.mat diff --git a/README.md b/README.md index 206ecc4..8479e8f 100644 --- a/README.md +++ b/README.md @@ -6,67 +6,64 @@ ## General Description AutoPACMEN allows one to apply the sMOMENT method of automatically expanding a stoichiometric metabolic -model with protein allocation constraints ([Bekiaris & Klamt, 2020](#autopacmens-publication)). -AutoPACMEN consists of 2 parts: -1) A Python 3 Model Generator which primarily uses [cobrapy](https://github.com/opencobra/cobrapy) and which applies the sMOMENT - method on a stoichiometric metabolic model. -2) An optional mixed Python 3/MATLAB Model Calibrator whose MATLAB parts primarily use [CellNetAnalyzer](https://www2.mpi-magdeburg.mpg.de/projects/cna/cna.html) - and which allows one to optimize given protein allocation constraints in order to get a better fit - with in vivo data. +model with protein allocation constraints (as described in further detail in [Bekiaris & Klamt, 2020](#autopacmens-publication)). +This repository of AutoPACMEN consists of three source code parts: + +1) The AutoPACMEN Model Generator, implemented as the Python module "autopacmen-Paulocracy" module, which provides a mostly automated way to generate enzyme-constraint-enhanced stoichiometric metabolic models, including an automatic retrieval of kcat values. It is primarily dependent on [cobrapy](https://github.com/opencobra/cobrapy). +
→This module can be found in the "autopacmen" subfolder. + +2) An optional mixed Python 3/MATLAB AutoPACMEN Model Calibrator whose MATLAB parts primarily use [CellNetAnalyzer](https://www2.mpi-magdeburg.mpg.de/projects/cna/cna.html) and which allows one to optimize given protein allocation constraints in order to get a better fit with in vivo data. +
→The Python parts can be found in the "autopacmen" subfolder as described in AutoPACMEN's manual,the MATLAB parts can be found in the subfolder "AutoPACMEN_Model_Calibrator_MATLAB". + +3) The exemplary usage of autopacmen-Paulocracy and the Model Calibrator resulting in the enzyme-constraint-enhanced model iJO1366*, as described in Supplementary File 1 of AutoPACMEN's publication. The final iJO1366* model is stored in a ready-to-use SBML form as "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml". +
→The relevant scripts and data can be found in the "iJO1366" subfolder. Note: As it has a huge file size, the obligatory downloaded complete BRENDA text file brenda_downloads.txt (as described in AutoPACMEN's manual) is not included here. Instead, it can be downloaded from BRENDA's web site. ## Documentation -AutoPACMEN's manual can be found as "manual.pdf" or "manual.odt" in the "docs" subfolder of the "autopacmen" folder. +The combined manual for autopacmen-Paulocracy and the Model Calibrator can be found as "manual.pdf" or LibreOffice-compatible "manual.odt" in the "docs" subfolder folder. It explains the manual installation process (without pip, see next chapter for the installation with pip) and usage of AutoPACMEN in detail. -An HTML documentation of the source code of AutoPACMEN's Python modules can be found under the main folder's subfolder "html". +An additional HTML documentation of the source code of AutoPACMEN's Python modules can be found under the "autopacmen" folder's subfolder "html". This HTML documentation was automatically generated using [pdoc3](https://pdoc3.github.io/pdoc/) (link accessed on Oct 30, 2019). -The HTML documentation's starting point is "index.html" in the "./html/autopacmen" subfolder. - -All scripts starting with "ec_model_2019_06_25" show the exemplary usage of AutoPACMEN for the generation of iJO1366*. All these scripts are intended to be run from the "autopacmen" subfolder of this repository. AutoPACMEN's exemplary usage is explained in AutoPACMEN's publication Supplementary File 1. - -Note: As it has a huge file size, the downloaded complete BRENDA text file brenda_downloads.txt (as described in -AutoPACMEN's manual) is not included here. +The HTML documentation's starting point is "index.html" in the "./autopacmen/html/autopacmen" subfolder. If you are particularily interested in the generation of kcat databases from BRENDA and SABIO-RK, look up the scripts "data_parse_brenda_textfile.py", "data_parse_sabio_rk_for_model.py" as well as the combining script "data_create_combined_kcat_database.py". These scripts create JSON files with the kcat data from these databases with EC number, organism and substrate information. An exemplary created database with BRENDA is -"kcat_database_brenda" in the main folder's subfolder "ec_model_2019_06_25_output", a database with SABIO-RK is +"kcat_database_brenda" in the main folder's subfolder "./iJO1366star/ec_model_2019_06_25_output", a database with SABIO-RK is "kcat_database_sabio_rk" in the same subfolder. -AutoPACMEN requires Python >=3.7 for its Python parts, and MATLAB >=2017a for its optional Model Calibrator -MATLAB scripts. +## Installation of autopacmen-Paulocracy using pip - -## Installation of Python parts using pip - -You can install the Python parts of AutoPACMEN's latest release [from PyPI](https://pypi.org/project/autopacmen-Paulocracy/) using pip as follows: +You can install autopacmen-Paulocracy [from PyPI](https://pypi.org/project/autopacmen-Paulocracy/) using pip as follows: 

 pip install autopacmen-Paulocracy
+autopacmen-Paulocracy requires Python >=3.7 for its Python parts, and MATLAB >=2017a for its optional Model Calibrator +MATLAB scripts. + ## Structure of AutoPACMEN's source code -All relevant scripts are in the "autopacmen" main folder. +All relevant scripts of autopacmen-Paulocracy are in the "autopacmen" main folder. In this main folder, the scripts which start with "analysis_", "data_" and "modeling_" are command-line interfaces (CLI) for AutoPACMEN's Python modules. These Python modules can be found the main folder's "submodules" subfolder. -The main folder's subfolder "AutoPACMEN_Model_Calibrator_MATLAB" contains the Model Calibrator's MATLAB parts. +The subfolder "AutoPACMEN_Model_Calibrator_MATLAB" contains the Model Calibrator's MATLAB parts. -All scripts and folders starting with "ec_model_2019_06_25" are part of the generation and analysis of iJO1366* (see AutoPACMEN's publication for more on it). From these scripts, these ones -starting with "ec_model_2019_06_25_figure" create either a full figure or data for a figure used in AutoPACMEN's publication. +All scripts and folders within "iJO1366star" are part of the generation and analysis of iJO1366* (see AutoPACMEN's publication for more about it). From these scripts, these ones +starting with "./iJO1366star/ec_model_2019_06_25_figure" create either a full figure or data for a figure used in AutoPACMEN's publication. -The main script for the generation of the uncalibrated iJO1366* model is "ec_model_2019_06_25_sMOMENT_iJO_CREATION.py" in the main folder. This +The main script for the generation of the uncalibrated iJO1366* model is "./iJO1366star/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py" in the "iJO1366" subfolder. This main script uses AutoPACMEN's functionalities as Python modules. The commented steps in this script correspond to the steps described in supplementary File 1 of (Bekiaris & Klamt, in submission). - -The main folder's subfolder "iJOstar_MCS_analysis_scripts" contains the scripts used for the computation and the analysis of the published Minimal Cut Set enumeration +The "iJO1366star" folder's subfolder "iJOstar_MCS_analysis_scripts" contains the scripts used for the computation and the analysis of the published Minimal Cut Set enumeration with iJO1366 and iJO1366*. AutoPACMEN creates a cache of SABIO-RK, NCBI TAXONOMY and UniProt data in the "_cache" main folder's subfolder. 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zTS}*|5+<++2eeWSMi94yvlC*R$^aXp>p?Km^ASKJ^>7a(q}LZ64G`ND7HWFf02(@V zCDa4zaSE{yV+ayb7;!t2)blT-oYuoQ(DZx+DQETYM}nIa^B^Hqh{uv*^?fnW^!ydY zD$$0ij&78k630-6lIzDZT1n~k1)3Ne48&h?+(O4X^zh8cAoCWIg0p+q-A^Y(+%8a#Pejc(H( z?iZy(>kp|za4@N#w!LXvLf*%Qwdrjm z>tijaZTj>fY~Z;4zc)cg5^RFKtbJ8p{$b&P5-HP14gr}}*n<0%6LzdzX=~Tpn(8B` g8Ee+o+7_+u!ZaRg4PGiS3KB9CLlYBQdppDb14{q%G5`Po diff --git a/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py b/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py deleted file mode 100644 index 2032fff..0000000 --- a/autopacmen/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py +++ /dev/null @@ -1,97 +0,0 @@ -#!/usr/bin/env python3 -# -# Copyright 2019-2020 PSB -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -"""This script consists of all steps needed for the genration of iJO1366-sMOMENT. - -The single steps are explained in the supplementary file 1 of sMOMENT's publication (Bekiaris & Klamt, 2020). -""" - -# IMPORTS -# External modules -import cobra -# Internal modules -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -from .submodules.create_combined_kcat_database import create_combined_kcat_database -from .submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml -from .submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml -from .submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml -from .submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping -from .submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file -from .submodules.parse_brenda_textfile import parse_brenda_textfile -from .submodules.parse_brenda_json_for_model import parse_brenda_json_for_model -from .submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml - - -# Step 1 -bigg_metabolites_file_path = "ec_model_2019_06_25_input/bigg_models_metabolites.txt" -json_output_folder = "./ec_model_2019_06_25_output/" -parse_bigg_metabolites_file(bigg_metabolites_file_path, json_output_folder) - -# Step 2 -brenda_textfile_path = "./ec_model_2019_06_25_input/brenda_download.txt" -bigg_metabolites_json_folder = "./ec_model_2019_06_25_output/" -json_output_path = "./ec_model_2019_06_25_output/kcat_database_brenda.json" -parse_brenda_textfile(brenda_textfile_path, bigg_metabolites_json_folder, json_output_path) - -# Step 3 -sbml_path = "./ec_model_2019_06_25_input/iJO1366.xml" -brenda_json_path = "./ec_model_2019_06_25_output/kcat_database_brenda.json" -output_json_path = "./ec_model_2019_06_25_output/kcat_database_brenda_for_model.json" -parse_brenda_json_for_model(sbml_path, brenda_json_path, output_json_path) - -# Step 4 -sbml_path = "./ec_model_2019_06_25_input/iJO1366.xml" -json_output_path = "./ec_model_2019_06_25_output/kcat_database_sabio_rk.json" -bigg_id_name_mapping_path: str = "./ec_model_2019_06_25_output/bigg_id_name_mapping.json" -parse_sabio_rk_for_model_with_sbml(sbml_path, json_output_path, bigg_id_name_mapping_path) - -# Step 5 -sabio_rk_kcat_database_path = "./ec_model_2019_06_25_output/kcat_database_sabio_rk.json" -brenda_kcat_database_path = "./ec_model_2019_06_25_output/kcat_database_brenda_for_model.json" -output_path = "./ec_model_2019_06_25_output/kcat_database_combined.json" -create_combined_kcat_database(sabio_rk_kcat_database_path, brenda_kcat_database_path, output_path) - -# Step 6 -sbml_path = "ec_model_2019_06_25_input/iJO1366.xml" -project_folder = "./ec_model_2019_06_25_output/" -project_name = "psb_orth" -organism = "Escherichia coli" -kcat_database_path = "./ec_model_2019_06_25_output/kcat_database_combined.json" -protein_kcat_database_path = "ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json" -get_reactions_kcat_mapping(sbml_path, project_folder, project_name, organism, kcat_database_path, protein_kcat_database_path) - -# Step 7 -input_sbml = "./ec_model_2019_06_25_input/iJO1366.xml" -project_folder = "./ec_model_2019_06_25_output/" -project_name = "psb_orth" -get_initial_spreadsheets_with_sbml(input_sbml, project_folder, project_name) - -# Step 8 -input_sbml = "./ec_model_2019_06_25_input/iJO1366.xml" -project_folder = "./ec_model_2019_06_25_output/" -project_name = "psb_orth" -get_protein_mass_mapping_with_sbml(input_sbml, project_folder, project_name) - -# Step 9 -input_sbml = "./ec_model_2019_06_25_input/iJO1366.xml" -output_sbml = "iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml" -project_folder = "./ec_model_2019_06_25_output/" -project_name = "psb_orth" -excluded_reactions = ["CO2tex", "O2tex", "H2tex"] -create_smoment_model_reaction_wise_with_sbml(input_sbml, output_sbml, project_folder, project_name, excluded_reactions) - -# Step 10 - Generate model with standard exchanges scenario -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml", .25) -cobra.io.write_sbml_model(model, "ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml") diff --git a/autopacmen/html/autopacmen/analysis_fva_comparison.html b/autopacmen/html/autopacmen/analysis_fva_comparison.html index 4acd294..37d9465 100644 --- a/autopacmen/html/autopacmen/analysis_fva_comparison.html +++ b/autopacmen/html/autopacmen/analysis_fva_comparison.html @@ -56,19 +56,21 @@

Module autopacmen.analysis_fva_comparison

# External module for command-line interfaces import click # Internal module, contains the actual FBA comparison function -from submodules.fva_comparison import fva_comparison_with_sbml +from .submodules.fva_comparison import fva_comparison_with_sbml # Set-up command-line parameters using click decorators @click.command() @click.option("--sbml_original_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="Original SBML path", help="Full SBML path of original model without protein allocation constraints") @click.option("--sbml_protein_constrained_path", required=True, - type=click.Path(exists=True, file_okay=True, dir_okay=True, readable=True), + type=click.Path(exists=True, file_okay=True, + dir_okay=True, readable=True), prompt="SBML path of sMOMENT-enhanced model", help="Full SBML path of sMOMENT-enhanced model.") @click.option("--objective", @@ -86,7 +88,8 @@

Module autopacmen.analysis_fva_comparison

Example: Print a comparative FVA for the non-constrained model 'C:\\original.xml' and the sMOMENT-model 'C:\\pac.xml' and the objective 'ACALD': python analysis_fva_comparison.py --sbml_original_path C:\\original.xml --sbml_protein_constrained_path C:\\pac.xml --objective ACALD """ - fva_comparison_with_sbml(sbml_original_path, sbml_protein_constrained_path, objective) + fva_comparison_with_sbml( + sbml_original_path, sbml_protein_constrained_path, objective) # Start-up routine if script is called diff --git a/autopacmen/html/autopacmen/analysis_fva_prot_pool.html b/autopacmen/html/autopacmen/analysis_fva_prot_pool.html index a7dc526..53ff093 100644 --- a/autopacmen/html/autopacmen/analysis_fva_prot_pool.html +++ b/autopacmen/html/autopacmen/analysis_fva_prot_pool.html @@ -53,7 +53,7 @@

Module autopacmen.analysis_fva_prot_pool

import click from typing import List # Internal modules -from submodules.fva_prot_pool import fva_prot_pool_with_sbml +from .submodules.fva_prot_pool import fva_prot_pool_with_sbml # Set-up command-line parameters using click decorators diff --git a/autopacmen/html/autopacmen/data_create_combined_kcat_database.html b/autopacmen/html/autopacmen/data_create_combined_kcat_database.html index 435a41f..00bc311 100644 --- a/autopacmen/html/autopacmen/data_create_combined_kcat_database.html +++ b/autopacmen/html/autopacmen/data_create_combined_kcat_database.html @@ -50,7 +50,7 @@

Module autopacmen.data_create_combined_kcat_databaseModule autopacmen.data_create_combined_kcat_databaseModule autopacmen.data_parse_bigg_metabolites_fileModule autopacmen.data_parse_brenda_json_for_modelModule autopacmen.data_parse_brenda_textfile

#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -52,7 +52,7 @@ 
Module autopacmen.data_parse_brenda_textfile

 # External modules
 import click
 # Internal modules
-from submodules.parse_brenda_textfile import parse_brenda_textfile
+from .submodules.parse_brenda_textfile import parse_brenda_textfile
 
 
 # Set-up command-line parameters using click decorators
@@ -71,7 +71,7 @@ 
Module autopacmen.data_parse_brenda_textfile

                    "must not have been changed.")
 @click.option("--json_output_path",
               required=True,
-              type=click.Path(exists=True, dir_okay=True),
+              type=click.Path(file_okay=True, dir_okay=True, writable=True),
               prompt="JSON output path",
               help="The full path for the more machine-readable JSON file of the"
                    " BRENDA database text file shall be placed. The resulting JSON "
@@ -95,7 +95,7 @@ 
Module autopacmen.data_parse_brenda_textfile

     Load the BRENDA textfile 'C:\\folder\\download.txt' while the BIGG metabolites file
     is in 'C:\\bigg\\' and the newly generated JSON shall be named 'C:\\folder\\brenda.json'
     <pre>
-    python data_parse_bigg_metabolites_file.py --brenda_textfile_path C:\\folder\\download.txt --bigg_metabolites_json_folder C:\\bigg\\ --json_output_path C:\\folder\\brenda.json
+    python data_parse_brenda_textfile.py --brenda_textfile_path C:\\folder\\download.txt --bigg_metabolites_json_folder C:\\bigg\\ --json_output_path C:\\folder\\brenda.json
     </pre>
     """
     parse_brenda_textfile(brenda_textfile_path, bigg_metabolites_json_folder, json_output_path)
diff --git a/autopacmen/html/autopacmen/data_parse_sabio_rk_for_model.html b/autopacmen/html/autopacmen/data_parse_sabio_rk_for_model.html
index d32b7ed..2d9a732 100644
--- a/autopacmen/html/autopacmen/data_parse_sabio_rk_for_model.html
+++ b/autopacmen/html/autopacmen/data_parse_sabio_rk_for_model.html
@@ -54,7 +54,7 @@ 
Module autopacmen.data_parse_sabio_rk_for_model
 

 

-
Namespace autopacmen

+
Module autopacmen

 

 

 

diff --git a/autopacmen/html/autopacmen/modeling_create_gecko_model.html b/autopacmen/html/autopacmen/modeling_create_gecko_model.html
index 3320725..3baa0b2 100644
--- a/autopacmen/html/autopacmen/modeling_create_gecko_model.html
+++ b/autopacmen/html/autopacmen/modeling_create_gecko_model.html
@@ -47,7 +47,7 @@ 
Module autopacmen.modeling_create_gecko_model
Module autopacmen.modeling_create_smoment_modelModule autopacmen.modeling_create_smoment_modelModule autopacmen.modeling_get_initial_spreadsheetsModule autopacmen.modeling_get_protein_mass_mappingModule autopacmen.modeling_get_reactions_kcat_mapping
 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -50,7 +50,7 @@ 
Module autopacmen.modeling_get_reactions_kcat_mappingModule autopacmen.modeling_get_reactions_kcat_mappingModule autopacmen.modeling_get_reactions_kcat_mappingModule autopacmen.optimization_apply_manual_changesModule autopacmen.submodules.create_combined_kcat_databa
 
 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -50,7 +50,7 @@ 
Module autopacmen.submodules.create_combined_kcat_databa
 
 # IMPORTS
 # Internal modules
-from submodules.helper_general import json_load, json_write
+from .helper_general import json_load, json_write
 # External modules
 from typing import Any, Dict, List
 
@@ -94,9 +94,21 @@ 
Module autopacmen.submodules.create_combined_kcat_databa
     combined_database: Dict[str, Dict[str, Any]] = {}
     # Go through each EC number :D...
     for ec_number_key in ec_number_keys:
-        # Get the wildcard status (i.e., found with a * wildcard?)
-        is_sabio_rk_from_wildcard: bool = sabio_rk_database[ec_number_key]["WILDCARD"]
-        is_brenda_from_wildcard: bool = brenda_database[ec_number_key]["WILDCARD"]
+        # Get the wildcard status (i.e., found with a * wildcard?) and check if the EC number occurs anywhere...
+        # ...for SABIO-RK
+        if ec_number_key not in sabio_rk_database.keys():
+            print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards")
+            print("Possible reasons: The EC number format is invalid or there was an SABIO-RK API error")
+            is_sabio_rk_from_wildcard = True  # Let the combined database ignore this entry
+        else:
+            is_sabio_rk_from_wildcard = sabio_rk_database[ec_number_key]["WILDCARD"]
+        # ...and for BRENDA
+        if ec_number_key not in brenda_database.keys():
+            print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards")
+            print("Possible reason: The EC number format is invalid")
+            is_brenda_from_wildcard = True  # Let the combined database ignore this entry
+        else:
+            is_brenda_from_wildcard = brenda_database[ec_number_key]["WILDCARD"]
 
         # If both are from wildcards, ignore them :3
         if (is_sabio_rk_from_wildcard) and (is_brenda_from_wildcard):
@@ -222,9 +234,21 @@ 
Arguments

     combined_database: Dict[str, Dict[str, Any]] = {}
     # Go through each EC number :D...
     for ec_number_key in ec_number_keys:
-        # Get the wildcard status (i.e., found with a * wildcard?)
-        is_sabio_rk_from_wildcard: bool = sabio_rk_database[ec_number_key]["WILDCARD"]
-        is_brenda_from_wildcard: bool = brenda_database[ec_number_key]["WILDCARD"]
+        # Get the wildcard status (i.e., found with a * wildcard?) and check if the EC number occurs anywhere...
+        # ...for SABIO-RK
+        if ec_number_key not in sabio_rk_database.keys():
+            print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards")
+            print("Possible reasons: The EC number format is invalid or there was an SABIO-RK API error")
+            is_sabio_rk_from_wildcard = True  # Let the combined database ignore this entry
+        else:
+            is_sabio_rk_from_wildcard = sabio_rk_database[ec_number_key]["WILDCARD"]
+        # ...and for BRENDA
+        if ec_number_key not in brenda_database.keys():
+            print(f"WARNING: EC number {ec_number_key} could not be found in SABIO-RK, even with wildcards")
+            print("Possible reason: The EC number format is invalid")
+            is_brenda_from_wildcard = True  # Let the combined database ignore this entry
+        else:
+            is_brenda_from_wildcard = brenda_database[ec_number_key]["WILDCARD"]
 
         # If both are from wildcards, ignore them :3
         if (is_sabio_rk_from_wildcard) and (is_brenda_from_wildcard):
diff --git a/autopacmen/html/autopacmen/submodules/create_gecko_model_reaction_wise.html b/autopacmen/html/autopacmen/submodules/create_gecko_model_reaction_wise.html
index acbbb42..e10de8d 100644
--- a/autopacmen/html/autopacmen/submodules/create_gecko_model_reaction_wise.html
+++ b/autopacmen/html/autopacmen/submodules/create_gecko_model_reaction_wise.html
@@ -51,9 +51,9 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
 import statistics
 from typing import List, Dict
 # Internal modules
-from submodules.helper_general import json_load, standardize_folder
-from submodules.helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \
-                                           read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx
+from .helper_general import json_load, standardize_folder
+from .helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \
+    read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx
 
 
 # PUBLIC FUNCTIONS
@@ -87,7 +87,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
     basepath: str = project_folder + project_name
 
     # READ REACTIONS<->KEGG ID XLSX
-    protein_id_mass_mapping: Dict[str, float] = json_load(basepath+"_protein_id_mass_mapping.json")
+    protein_id_mass_mapping: Dict[str, float] = json_load(
+        basepath+"_protein_id_mass_mapping.json")
 
     # LOAD XLSX WITH PROTEIN DATA
     # Load protein data XLSX
@@ -98,7 +99,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
         read_enzyme_stoichiometries_xlsx(basepath)
 
     # Read reaction <-> kcat mapping :D
-    reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json")
+    reactions_kcat_mapping_database = json_load(
+        basepath + "_reactions_kcat_mapping_combined.json")
     all_kcats = [x["forward"] for x in reactions_kcat_mapping_database.values()] + \
                 [x["reverse"] for x in reactions_kcat_mapping_database.values()]
     all_kcats = [x for x in all_kcats if not math.isnan(x)]
@@ -109,7 +111,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
     # This ID addition will be added to all reactions which are modified by this method
     id_addition = "_TG_"
     # Calculate p_measured
-    p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping)
+    p_measured = get_p_measured(
+        protein_id_concentration_mapping, protein_id_mass_mapping)
     # Make model irreversible
     model = get_irreversible_model(model, id_addition)
     # Add prot_pool reaction
@@ -137,7 +140,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
             enzyme = cobra.Metabolite(id=protein_id+"_met",
                                       name=f"Protein {protein_id}",
                                       compartment="AutoPACMEN")
-            molecular_weight = protein_id_mass_mapping[protein_id] / 1000  # Mapping is in Da, GECKO uses kDa (g/mmol)
+            # Mapping is in Da, GECKO uses kDa (g/mmol)
+            molecular_weight = protein_id_mass_mapping[protein_id] / 1000
             er.add_metabolites({prot_pool_metabolite: -molecular_weight,
                                 enzyme: 1})
             er.lower_bound = 0
@@ -215,7 +219,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
 
         # Add arm reaction if isozymes occur
         if len(gene_rule) > 1:  # Isozymes occur :O
-            arm_reaction_id = id_addition+f"arm_reaction_{current_arm_reaction}"
+            arm_reaction_id = id_addition + \
+                f"arm_reaction_{current_arm_reaction}"
             arm_reaction_name = f"Arm reaction no. {current_arm_reaction} for gene rule {str(gene_rule)}"
             arm_reaction = cobra.Reaction(id=arm_reaction_id,
                                           name=arm_reaction_name,
@@ -255,7 +260,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
                 protein = model.metabolites.get_by_id(isozyme_id+"_met")
                 reaction_id = reaction_id.split("_TG_")[0]
 
-                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                    reaction_id][isozyme_id][isozyme_id]
                 stoichiometry /= (reaction_kcat * 3600)
                 stoichiometry *= -1
 
@@ -271,7 +277,8 @@ 
Module autopacmen.submodules.create_gecko_model_reaction
                     protein = model.metabolites.get_by_id(single_id+"_met")
                     reaction_id = reaction_id.split("_TG_")[0]
 
-                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][single_id]
                     stoichiometry /= (reaction_kcat * 3600)
                     stoichiometry *= -1
 
@@ -367,7 +374,8 @@ 
Arguments

     basepath: str = project_folder + project_name
 
     # READ REACTIONS<->KEGG ID XLSX
-    protein_id_mass_mapping: Dict[str, float] = json_load(basepath+"_protein_id_mass_mapping.json")
+    protein_id_mass_mapping: Dict[str, float] = json_load(
+        basepath+"_protein_id_mass_mapping.json")
 
     # LOAD XLSX WITH PROTEIN DATA
     # Load protein data XLSX
@@ -378,7 +386,8 @@ 
Arguments

         read_enzyme_stoichiometries_xlsx(basepath)
 
     # Read reaction <-> kcat mapping :D
-    reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json")
+    reactions_kcat_mapping_database = json_load(
+        basepath + "_reactions_kcat_mapping_combined.json")
     all_kcats = [x["forward"] for x in reactions_kcat_mapping_database.values()] + \
                 [x["reverse"] for x in reactions_kcat_mapping_database.values()]
     all_kcats = [x for x in all_kcats if not math.isnan(x)]
@@ -389,7 +398,8 @@ 
Arguments

     # This ID addition will be added to all reactions which are modified by this method
     id_addition = "_TG_"
     # Calculate p_measured
-    p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping)
+    p_measured = get_p_measured(
+        protein_id_concentration_mapping, protein_id_mass_mapping)
     # Make model irreversible
     model = get_irreversible_model(model, id_addition)
     # Add prot_pool reaction
@@ -417,7 +427,8 @@ 
Arguments

             enzyme = cobra.Metabolite(id=protein_id+"_met",
                                       name=f"Protein {protein_id}",
                                       compartment="AutoPACMEN")
-            molecular_weight = protein_id_mass_mapping[protein_id] / 1000  # Mapping is in Da, GECKO uses kDa (g/mmol)
+            # Mapping is in Da, GECKO uses kDa (g/mmol)
+            molecular_weight = protein_id_mass_mapping[protein_id] / 1000
             er.add_metabolites({prot_pool_metabolite: -molecular_weight,
                                 enzyme: 1})
             er.lower_bound = 0
@@ -495,7 +506,8 @@ 
Arguments

 
         # Add arm reaction if isozymes occur
         if len(gene_rule) > 1:  # Isozymes occur :O
-            arm_reaction_id = id_addition+f"arm_reaction_{current_arm_reaction}"
+            arm_reaction_id = id_addition + \
+                f"arm_reaction_{current_arm_reaction}"
             arm_reaction_name = f"Arm reaction no. {current_arm_reaction} for gene rule {str(gene_rule)}"
             arm_reaction = cobra.Reaction(id=arm_reaction_id,
                                           name=arm_reaction_name,
@@ -535,7 +547,8 @@ 
Arguments

                 protein = model.metabolites.get_by_id(isozyme_id+"_met")
                 reaction_id = reaction_id.split("_TG_")[0]
 
-                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                    reaction_id][isozyme_id][isozyme_id]
                 stoichiometry /= (reaction_kcat * 3600)
                 stoichiometry *= -1
 
@@ -551,7 +564,8 @@ 
Arguments

                     protein = model.metabolites.get_by_id(single_id+"_met")
                     reaction_id = reaction_id.split("_TG_")[0]
 
-                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][single_id]
                     stoichiometry /= (reaction_kcat * 3600)
                     stoichiometry *= -1
 
diff --git a/autopacmen/html/autopacmen/submodules/create_smoment_model_reaction_wise.html b/autopacmen/html/autopacmen/submodules/create_smoment_model_reaction_wise.html
index 1829e0a..96ef483 100644
--- a/autopacmen/html/autopacmen/submodules/create_smoment_model_reaction_wise.html
+++ b/autopacmen/html/autopacmen/submodules/create_smoment_model_reaction_wise.html
@@ -29,7 +29,7 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
 
 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -57,10 +57,10 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
 import sys
 from typing import Dict, List
 # Internal modules
-from submodules.helper_general import json_load, standardize_folder
-from submodules.helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \
-                                           read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx, \
-                                           get_model_with_separated_measured_enzyme_reactions
+from .helper_general import json_load, standardize_folder
+from .helper_create_model import add_prot_pool_reaction, get_irreversible_model, get_p_measured, \
+    read_enzyme_stoichiometries_xlsx, read_protein_data_xlsx, \
+    get_model_with_separated_measured_enzyme_reactions
 
 
 # PUBLIC FUNCTIONS
@@ -101,7 +101,8 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
     id_addition: str = "_TG_"
 
     # READ REACTIONS<->KEGG ID XLSX
-    protein_id_mass_mapping: Dict[str, float] = json_load(basepath + "_protein_id_mass_mapping.json")
+    protein_id_mass_mapping: Dict[str, float] = json_load(
+        basepath + "_protein_id_mass_mapping.json")
 
     # Load protein data XLSX
     protein_id_concentration_mapping, p_total, unmeasured_protein_fraction, mean_saturation = \
@@ -112,7 +113,8 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
         read_enzyme_stoichiometries_xlsx(basepath)
 
     # Calculate p_measured
-    p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping)
+    p_measured = get_p_measured(
+        protein_id_concentration_mapping, protein_id_mass_mapping)
 
     # Split reactions with measured enzymes
     model, reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \
@@ -132,7 +134,8 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
                                                          unmeasured_protein_fraction, mean_saturation)
 
     # Read reaction <-> kcat mapping :-)
-    reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json")
+    reactions_kcat_mapping_database = json_load(
+        basepath + "_reactions_kcat_mapping_combined.json")
 
     # sMOMENT :D
     # Get all kcats which are not math.nan and calculate the median of them, which will be used as default kcat
@@ -195,7 +198,7 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
             continue
 
         # Check if all proteins in the reaction's gene rule have a found mass
-        # This is not the case for e.g. spontaneous reactions whcih often get the pseudo-enzyme 's0001'
+        # This is not the case for e.g. spontaneous reactions which often get the pseudo-enzyme 's0001'
         all_available = True
         for enzyme in gene_rule:
             if type(enzyme) == str:
@@ -241,7 +244,10 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
             reaction_kcat = forward_kcat
 
         # Add protein pool pseudo-metabolite depending on isozyme complex presence
-        stoichiometries = []
+        # List of selectable MW/kcat stoichiometries (the most conservative constraint will be chosen)
+        stoichiometries: List[float] = []
+        # List of enzyme names and stoichiometries (semicolon-separated) for a console report
+        stoichiometry_enzyme_name_list: List[str] = []
         for isozyme_id in gene_rule:
             # If it's not a complex :O...
             if type(isozyme_id) is str:
@@ -249,7 +255,9 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
                 reaction_id = reaction_id.split("_TG_")[0]
 
                 # ...get the number of units for this protein...
-                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                    reaction_id][isozyme_id][isozyme_id]
+                stoichiometry = number_units
                 # ...and determine the protein pool stoichiometry by
                 # 1) Multiplying the number of units for this protein with its mass (converted from kDa to mDa, since the reaction
                 #    flux is defined for mmol/(gDW*h) and not mol/(gDW*h))
@@ -259,14 +267,19 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
                 # 3) Setting the right direction (educt)
                 stoichiometry *= -1
                 stoichiometries.append(stoichiometry)
+                stoichiometry_enzyme_name_list.append(
+                    isozyme_id + ";" + str(number_units))
 
                 # Add proteomics constraints
                 if isozyme_id in protein_id_concentration_mapping.keys():
-                    enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+isozyme_id)
-                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                    enzyme_pseudo_metabolite = model.metabolites.get_by_id(
+                        "ENZYME_"+isozyme_id)
+                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][isozyme_id]
                     stoichiometry *= 1 / (reaction_kcat * 3600)
                     stoichiometry *= -1
-                    reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry})
+                    reaction.add_metabolites(
+                        {enzyme_pseudo_metabolite: stoichiometry})
             # If it is a complex :O...
             else:
                 # ...convert the complex IDs to a hashable tuple (used for the stoichiometry selection)...
@@ -274,38 +287,69 @@ 
Module autopacmen.submodules.create_smoment_model_reacti
                 stoichiometry = 0
 
                 # ...go through each single ID of the complex...
+                stoichiometry_enzyme_name_list.append("")
                 for single_id in isozyme_id:
                     # ...get the reaction ID without additions...
                     reaction_id = reaction_id.split("_TG_")[0]
 
                     # ...get the number of units for this protein...
-                    single_stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                    number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][single_id]
+                    single_stoichiometry = number_units
                     # ...and determine the protein pool stoichiometry addition by
                     # 1) Multiplying the number of units for this protein with its mass (converted from kDa to Da)
-                    single_stoichiometry *= (protein_id_mass_mapping[single_id] / 1000)
+                    single_stoichiometry *= (
+                        protein_id_mass_mapping[single_id] / 1000)
                     # 2) Dividing it with the reaction's kcat (converted from 1/s to 1/h)
                     single_stoichiometry /= (reaction_kcat * 3600)
                     # 3) Setting the right direction (educt)
                     single_stoichiometry *= -1
                     # 4) and add it to the complex's stoichiometry
                     stoichiometry += single_stoichiometry
+                    # Add name of current single ID
+                    stoichiometry_enzyme_name_list[-1] += single_id + \
+                        ";" + str(number_units) + " "
+                stoichiometry_enzyme_name_list[-1] = stoichiometry_enzyme_name_list[-1].rstrip()
                 # Add to list of stoichiometries
                 stoichiometries.append(stoichiometry)
 
                 # Add proteomics constraints
                 for single_id in isozyme_id:
                     if single_id in protein_id_concentration_mapping.keys():
-                        enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+single_id)
-                        stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                        enzyme_pseudo_metabolite = model.metabolites.get_by_id(
+                            "ENZYME_"+single_id)
+                        stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][isozyme_id][single_id]
                         stoichiometry *= 1 / (reaction_kcat * 3600)
                         stoichiometry *= -1
-                        reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry})
+                        reaction.add_metabolites(
+                            {enzyme_pseudo_metabolite: stoichiometry})
 
         # Take the maximal stoichiometry (i.e., the one with the least cost since this one will usually be prefered
         # anyway in an FBA).
         metabolites = {}
-        metabolites[prot_pool_metabolite] = max(stoichiometries)
+        max_stoichiometry = max(stoichiometries)
+        metabolites[prot_pool_metabolite] = max_stoichiometry
         reaction.add_metabolites(metabolites)
+        selected_enzyme = stoichiometry_enzyme_name_list[stoichiometries.index(
+            max_stoichiometry)]
+
+        # Print report of selected kcat and molecular weight for this reaction
+        print("Reaction: ", model_reaction_id)
+        print("Selected kcat: ", reaction_kcat)
+        print("Selected molecular weight (kDa): ", end="")
+        if " " in selected_enzyme:  # Multiple enzymes
+            mass_sum = .0
+            for single_enzyme in selected_enzyme.split(" "):
+                enzyme_name = single_enzyme.split(";")[0]
+                enzyme_unit_number = float(single_enzyme.split(";")[1])
+                mass_sum += protein_id_mass_mapping[enzyme_name] * \
+                    enzyme_unit_number
+            print(mass_sum)
+        else:  # Single enzyme
+            enzyme_name = selected_enzyme.split(";")[0]
+            enzyme_unit_number = float(selected_enzyme.split(";")[1])
+            print(protein_id_mass_mapping[enzyme_name] * enzyme_unit_number)
 
     # Output as SBML (without constraints due to cobrapy limitations)
     cobra.io.write_sbml_model(model, project_folder + output_sbml_name)
@@ -396,7 +440,8 @@ 
Output

     id_addition: str = "_TG_"
 
     # READ REACTIONS<->KEGG ID XLSX
-    protein_id_mass_mapping: Dict[str, float] = json_load(basepath + "_protein_id_mass_mapping.json")
+    protein_id_mass_mapping: Dict[str, float] = json_load(
+        basepath + "_protein_id_mass_mapping.json")
 
     # Load protein data XLSX
     protein_id_concentration_mapping, p_total, unmeasured_protein_fraction, mean_saturation = \
@@ -407,7 +452,8 @@ 
Output

         read_enzyme_stoichiometries_xlsx(basepath)
 
     # Calculate p_measured
-    p_measured = get_p_measured(protein_id_concentration_mapping, protein_id_mass_mapping)
+    p_measured = get_p_measured(
+        protein_id_concentration_mapping, protein_id_mass_mapping)
 
     # Split reactions with measured enzymes
     model, reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \
@@ -427,7 +473,8 @@ 
Output

                                                          unmeasured_protein_fraction, mean_saturation)
 
     # Read reaction <-> kcat mapping :-)
-    reactions_kcat_mapping_database = json_load(basepath + "_reactions_kcat_mapping_combined.json")
+    reactions_kcat_mapping_database = json_load(
+        basepath + "_reactions_kcat_mapping_combined.json")
 
     # sMOMENT :D
     # Get all kcats which are not math.nan and calculate the median of them, which will be used as default kcat
@@ -490,7 +537,7 @@ 
Output

             continue
 
         # Check if all proteins in the reaction's gene rule have a found mass
-        # This is not the case for e.g. spontaneous reactions whcih often get the pseudo-enzyme 's0001'
+        # This is not the case for e.g. spontaneous reactions which often get the pseudo-enzyme 's0001'
         all_available = True
         for enzyme in gene_rule:
             if type(enzyme) == str:
@@ -536,7 +583,10 @@ 
Output

             reaction_kcat = forward_kcat
 
         # Add protein pool pseudo-metabolite depending on isozyme complex presence
-        stoichiometries = []
+        # List of selectable MW/kcat stoichiometries (the most conservative constraint will be chosen)
+        stoichiometries: List[float] = []
+        # List of enzyme names and stoichiometries (semicolon-separated) for a console report
+        stoichiometry_enzyme_name_list: List[str] = []
         for isozyme_id in gene_rule:
             # If it's not a complex :O...
             if type(isozyme_id) is str:
@@ -544,7 +594,9 @@ 
Output

                 reaction_id = reaction_id.split("_TG_")[0]
 
                 # ...get the number of units for this protein...
-                stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                    reaction_id][isozyme_id][isozyme_id]
+                stoichiometry = number_units
                 # ...and determine the protein pool stoichiometry by
                 # 1) Multiplying the number of units for this protein with its mass (converted from kDa to mDa, since the reaction
                 #    flux is defined for mmol/(gDW*h) and not mol/(gDW*h))
@@ -554,14 +606,19 @@ 
Output

                 # 3) Setting the right direction (educt)
                 stoichiometry *= -1
                 stoichiometries.append(stoichiometry)
+                stoichiometry_enzyme_name_list.append(
+                    isozyme_id + ";" + str(number_units))
 
                 # Add proteomics constraints
                 if isozyme_id in protein_id_concentration_mapping.keys():
-                    enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+isozyme_id)
-                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][isozyme_id]
+                    enzyme_pseudo_metabolite = model.metabolites.get_by_id(
+                        "ENZYME_"+isozyme_id)
+                    stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][isozyme_id]
                     stoichiometry *= 1 / (reaction_kcat * 3600)
                     stoichiometry *= -1
-                    reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry})
+                    reaction.add_metabolites(
+                        {enzyme_pseudo_metabolite: stoichiometry})
             # If it is a complex :O...
             else:
                 # ...convert the complex IDs to a hashable tuple (used for the stoichiometry selection)...
@@ -569,38 +626,69 @@ 
Output

                 stoichiometry = 0
 
                 # ...go through each single ID of the complex...
+                stoichiometry_enzyme_name_list.append("")
                 for single_id in isozyme_id:
                     # ...get the reaction ID without additions...
                     reaction_id = reaction_id.split("_TG_")[0]
 
                     # ...get the number of units for this protein...
-                    single_stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                    number_units = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                        reaction_id][isozyme_id][single_id]
+                    single_stoichiometry = number_units
                     # ...and determine the protein pool stoichiometry addition by
                     # 1) Multiplying the number of units for this protein with its mass (converted from kDa to Da)
-                    single_stoichiometry *= (protein_id_mass_mapping[single_id] / 1000)
+                    single_stoichiometry *= (
+                        protein_id_mass_mapping[single_id] / 1000)
                     # 2) Dividing it with the reaction's kcat (converted from 1/s to 1/h)
                     single_stoichiometry /= (reaction_kcat * 3600)
                     # 3) Setting the right direction (educt)
                     single_stoichiometry *= -1
                     # 4) and add it to the complex's stoichiometry
                     stoichiometry += single_stoichiometry
+                    # Add name of current single ID
+                    stoichiometry_enzyme_name_list[-1] += single_id + \
+                        ";" + str(number_units) + " "
+                stoichiometry_enzyme_name_list[-1] = stoichiometry_enzyme_name_list[-1].rstrip()
                 # Add to list of stoichiometries
                 stoichiometries.append(stoichiometry)
 
                 # Add proteomics constraints
                 for single_id in isozyme_id:
                     if single_id in protein_id_concentration_mapping.keys():
-                        enzyme_pseudo_metabolite = model.metabolites.get_by_id("ENZYME_"+single_id)
-                        stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][isozyme_id][single_id]
+                        enzyme_pseudo_metabolite = model.metabolites.get_by_id(
+                            "ENZYME_"+single_id)
+                        stoichiometry = reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][isozyme_id][single_id]
                         stoichiometry *= 1 / (reaction_kcat * 3600)
                         stoichiometry *= -1
-                        reaction.add_metabolites({enzyme_pseudo_metabolite: stoichiometry})
+                        reaction.add_metabolites(
+                            {enzyme_pseudo_metabolite: stoichiometry})
 
         # Take the maximal stoichiometry (i.e., the one with the least cost since this one will usually be prefered
         # anyway in an FBA).
         metabolites = {}
-        metabolites[prot_pool_metabolite] = max(stoichiometries)
+        max_stoichiometry = max(stoichiometries)
+        metabolites[prot_pool_metabolite] = max_stoichiometry
         reaction.add_metabolites(metabolites)
+        selected_enzyme = stoichiometry_enzyme_name_list[stoichiometries.index(
+            max_stoichiometry)]
+
+        # Print report of selected kcat and molecular weight for this reaction
+        print("Reaction: ", model_reaction_id)
+        print("Selected kcat: ", reaction_kcat)
+        print("Selected molecular weight (kDa): ", end="")
+        if " " in selected_enzyme:  # Multiple enzymes
+            mass_sum = .0
+            for single_enzyme in selected_enzyme.split(" "):
+                enzyme_name = single_enzyme.split(";")[0]
+                enzyme_unit_number = float(single_enzyme.split(";")[1])
+                mass_sum += protein_id_mass_mapping[enzyme_name] * \
+                    enzyme_unit_number
+            print(mass_sum)
+        else:  # Single enzyme
+            enzyme_name = selected_enzyme.split(";")[0]
+            enzyme_unit_number = float(selected_enzyme.split(";")[1])
+            print(protein_id_mass_mapping[enzyme_name] * enzyme_unit_number)
 
     # Output as SBML (without constraints due to cobrapy limitations)
     cobra.io.write_sbml_model(model, project_folder + output_sbml_name)

diff --git a/autopacmen/html/autopacmen/submodules/fva_prot_pool.html b/autopacmen/html/autopacmen/submodules/fva_prot_pool.html
index dffcf3e..dda0ffc 100644
--- a/autopacmen/html/autopacmen/submodules/fva_prot_pool.html
+++ b/autopacmen/html/autopacmen/submodules/fva_prot_pool.html
@@ -73,11 +73,14 @@ 
Module autopacmen.submodules.fva_prot_pool

         with model:
             if objective != "":
                 model.objective = objective
-            model.reactions.get_by_id("ER_pool_TG_").upper_bound = pp_upper_bound
+            model.reactions.get_by_id(
+                "ER_pool_TG_").upper_bound = pp_upper_bound
             solution = model.optimize()
-            print(f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:")
+            print(
+                f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:")
             model.summary(fva=1.0)
-            print(abs(solution.fluxes.EX_glc__D_e) / abs(solution.fluxes.EX_ac_e))
+            print(abs(solution.fluxes.EX_glc__D_e) /
+                  abs(solution.fluxes.EX_ac_e))
             model.metabolites.prot_pool.summary()
 
 
@@ -130,11 +133,14 @@ 
Arguments

         with model:
             if objective != "":
                 model.objective = objective
-            model.reactions.get_by_id("ER_pool_TG_").upper_bound = pp_upper_bound
+            model.reactions.get_by_id(
+                "ER_pool_TG_").upper_bound = pp_upper_bound
             solution = model.optimize()
-            print(f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:")
+            print(
+                f"\sMOMENT-enhanced model, FVA solution for prot_pool upper bound of {pp_upper_bound}:")
             model.summary(fva=1.0)
-            print(abs(solution.fluxes.EX_glc__D_e) / abs(solution.fluxes.EX_ac_e))
+            print(abs(solution.fluxes.EX_glc__D_e) /
+                  abs(solution.fluxes.EX_ac_e))
             model.metabolites.prot_pool.summary()

 
 
diff --git a/autopacmen/html/autopacmen/submodules/get_differential_reactions.html b/autopacmen/html/autopacmen/submodules/get_differential_reactions.html
index 55a3c48..cc5eb80 100644
--- a/autopacmen/html/autopacmen/submodules/get_differential_reactions.html
+++ b/autopacmen/html/autopacmen/submodules/get_differential_reactions.html
@@ -29,7 +29,7 @@ 
Module autopacmen.submodules.get_differential_reactions<
 
 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -95,7 +95,8 @@ 
Module autopacmen.submodules.get_differential_reactions<
     """
     for c_source in scenario_names:
         filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{c_source}.txt"
-        differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold)
+        differential_reactions = _get_differential_reactions_from_flux_control_file(
+            filepath, threshold)
     differential_reactions = list(set(differential_reactions))
     return differential_reactions
 
@@ -106,9 +107,9 @@ 
Module autopacmen.submodules.get_differential_reactions<
 
     Definition of 'differential reaction'
     ----------
-    In a protein-constraint-enhanced metabolic network, the deletion of the constrain constraint in a reaction
+    In a protein-constraint-enhanced metabolic network, the deletion of the protein constraint in a reaction
     can have an influence on the objective solution value, or not. A 'differential reaction' is a reaction in
-    which the constraint deletion has an influence over the given threshold. I.e., if the original objective solution
+    which the constraint's deletion has an influence over the given threshold. I.e., if the original objective solution
     is 1.0 and - after the deletion of the protein constraint for the reaction - again 1.0, the reaction is not
     differential. If the deletion of the protein constraint leads e.g. to the solution 1.001 or .999, and the threshold
     is smaller or equal to .001, the reaction is 'differential'.
@@ -125,14 +126,17 @@ 
Module autopacmen.submodules.get_differential_reactions<
     Output
     ----------
     2 values:
-    * unique_differential_proteins_of_scenario: Dict[str, List[str]] ~
-    * differential_proteins_of_all_scenarios: List[str] ~ A list of all differential
+    * unique_differential_proteins_of_scenario: Dict[str, List[str]] ~ A list of all differential
+      reactions which occur in *only one* given scenario.
+    * differential_reactions_of_all_scenarios: List[str] ~ A list of all differential reactions which
+      occur in *all* given scenarios.
     """
     # Get the differential reactions of each single scenario
     differential_reactions_by_scenario: Dict[str, List[str]] = {}
     for scenario_name in scenario_names:
         filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{scenario_name}.txt"
-        differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold)
+        differential_reactions = _get_differential_reactions_from_flux_control_file(
+            filepath, threshold)
         differential_reactions_by_scenario[scenario_name] = differential_reactions
 
     # Check for substitution name
@@ -155,11 +159,14 @@ 
Module autopacmen.submodules.get_differential_reactions<
         del(scenario_names[old_index])
 
         if new_name in differential_reactions_by_scenario.keys():
-            combined_list = list(set(differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name]))
-            differential_reactions_by_scenario[new_name] = copy.deepcopy(combined_list)
+            combined_list = list(set(
+                differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name]))
+            differential_reactions_by_scenario[new_name] = copy.deepcopy(
+                combined_list)
         else:
             scenario_names.append(new_name)
-            differential_reactions_by_scenario[new_name] = copy.deepcopy(differential_reactions_by_scenario[old_name])
+            differential_reactions_by_scenario[new_name] = copy.deepcopy(
+                differential_reactions_by_scenario[old_name])
         del(differential_reactions_by_scenario[old_name])
 
     # Get the unique differential reactions by checking each differential reaction of a scenario
@@ -168,7 +175,8 @@ 
Module autopacmen.submodules.get_differential_reactions<
     unique_differential_reactions_of_scenario: Dict[str, List[str]] = {}
     for scenario_name in scenario_names:
         differential_reactions_of_scenario = differential_reactions_by_scenario[scenario_name]
-        all_differential_proteins.append(set(differential_reactions_of_scenario))
+        all_differential_proteins.append(
+            set(differential_reactions_of_scenario))
 
         other_differential_reactions: List[str] = []
         for other_c_source in scenario_names:
@@ -183,7 +191,8 @@ 
Module autopacmen.submodules.get_differential_reactions<
             print("Unique differential reactions of "+scenario_name+":")
             print(unique_differential_reactions_of_single_scenario)
 
-    differential_reactions_of_all_scenarios = set.intersection(*all_differential_proteins)
+    differential_reactions_of_all_scenarios = set.intersection(
+        *all_differential_proteins)
     if print_result:
         print("Differential reactions of all C sources:")
         print(differential_reactions_of_all_scenarios)
@@ -227,7 +236,8 @@ 
Arguments

     """
     for c_source in scenario_names:
         filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{c_source}.txt"
-        differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold)
+        differential_reactions = _get_differential_reactions_from_flux_control_file(
+            filepath, threshold)
     differential_reactions = list(set(differential_reactions))
     return differential_reactions

 
@@ -238,9 +248,9 @@ 
Arguments

 

 
Returns the differential reactions in the given flux files.

 
Definition of 'differential reaction'

-
In a protein-constraint-enhanced metabolic network, the deletion of the constrain constraint in a reaction
+
In a protein-constraint-enhanced metabolic network, the deletion of the protein constraint in a reaction
 can have an influence on the objective solution value, or not. A 'differential reaction' is a reaction in
-which the constraint deletion has an influence over the given threshold. I.e., if the original objective solution
+which the constraint's deletion has an influence over the given threshold. I.e., if the original objective solution
 is 1.0 and - after the deletion of the protein constraint for the reaction - again 1.0, the reaction is not
 differential. If the deletion of the protein constraint leads e.g. to the solution 1.001 or .999, and the threshold
 is smaller or equal to .001, the reaction is 'differential'.

@@ -255,8 +265,10 @@ 
Arguments

 
 
Output

 
2 values:
-* unique_differential_proteins_of_scenario: Dict[str, List[str]] ~
-* differential_proteins_of_all_scenarios: List[str] ~ A list of all differential

+* unique_differential_proteins_of_scenario: Dict[str, List[str]] ~ A list of all differential
+reactions which occur in only one given scenario.
+* differential_reactions_of_all_scenarios: List[str] ~ A list of all differential reactions which
+occur in all given scenarios.

 

 
 Expand source code
@@ -267,9 +279,9 @@ 
Output

 
     Definition of 'differential reaction'
     ----------
-    In a protein-constraint-enhanced metabolic network, the deletion of the constrain constraint in a reaction
+    In a protein-constraint-enhanced metabolic network, the deletion of the protein constraint in a reaction
     can have an influence on the objective solution value, or not. A 'differential reaction' is a reaction in
-    which the constraint deletion has an influence over the given threshold. I.e., if the original objective solution
+    which the constraint's deletion has an influence over the given threshold. I.e., if the original objective solution
     is 1.0 and - after the deletion of the protein constraint for the reaction - again 1.0, the reaction is not
     differential. If the deletion of the protein constraint leads e.g. to the solution 1.001 or .999, and the threshold
     is smaller or equal to .001, the reaction is 'differential'.
@@ -286,14 +298,17 @@ 
Output

     Output
     ----------
     2 values:
-    * unique_differential_proteins_of_scenario: Dict[str, List[str]] ~
-    * differential_proteins_of_all_scenarios: List[str] ~ A list of all differential
+    * unique_differential_proteins_of_scenario: Dict[str, List[str]] ~ A list of all differential
+      reactions which occur in *only one* given scenario.
+    * differential_reactions_of_all_scenarios: List[str] ~ A list of all differential reactions which
+      occur in *all* given scenarios.
     """
     # Get the differential reactions of each single scenario
     differential_reactions_by_scenario: Dict[str, List[str]] = {}
     for scenario_name in scenario_names:
         filepath = f"{flux_control_files_path}/{project_name}_reaction_flux_control_{scenario_name}.txt"
-        differential_reactions = _get_differential_reactions_from_flux_control_file(filepath, threshold)
+        differential_reactions = _get_differential_reactions_from_flux_control_file(
+            filepath, threshold)
         differential_reactions_by_scenario[scenario_name] = differential_reactions
 
     # Check for substitution name
@@ -316,11 +331,14 @@ 
Output

         del(scenario_names[old_index])
 
         if new_name in differential_reactions_by_scenario.keys():
-            combined_list = list(set(differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name]))
-            differential_reactions_by_scenario[new_name] = copy.deepcopy(combined_list)
+            combined_list = list(set(
+                differential_reactions_by_scenario[new_name] + differential_reactions_by_scenario[old_name]))
+            differential_reactions_by_scenario[new_name] = copy.deepcopy(
+                combined_list)
         else:
             scenario_names.append(new_name)
-            differential_reactions_by_scenario[new_name] = copy.deepcopy(differential_reactions_by_scenario[old_name])
+            differential_reactions_by_scenario[new_name] = copy.deepcopy(
+                differential_reactions_by_scenario[old_name])
         del(differential_reactions_by_scenario[old_name])
 
     # Get the unique differential reactions by checking each differential reaction of a scenario
@@ -329,7 +347,8 @@ 
Output

     unique_differential_reactions_of_scenario: Dict[str, List[str]] = {}
     for scenario_name in scenario_names:
         differential_reactions_of_scenario = differential_reactions_by_scenario[scenario_name]
-        all_differential_proteins.append(set(differential_reactions_of_scenario))
+        all_differential_proteins.append(
+            set(differential_reactions_of_scenario))
 
         other_differential_reactions: List[str] = []
         for other_c_source in scenario_names:
@@ -344,7 +363,8 @@ 
Output

             print("Unique differential reactions of "+scenario_name+":")
             print(unique_differential_reactions_of_single_scenario)
 
-    differential_reactions_of_all_scenarios = set.intersection(*all_differential_proteins)
+    differential_reactions_of_all_scenarios = set.intersection(
+        *all_differential_proteins)
     if print_result:
         print("Differential reactions of all C sources:")
         print(differential_reactions_of_all_scenarios)
diff --git a/autopacmen/html/autopacmen/submodules/get_initial_spreadsheets.html b/autopacmen/html/autopacmen/submodules/get_initial_spreadsheets.html
index 8684237..faf21fb 100644
--- a/autopacmen/html/autopacmen/submodules/get_initial_spreadsheets.html
+++ b/autopacmen/html/autopacmen/submodules/get_initial_spreadsheets.html
@@ -60,8 +60,8 @@ 
Module autopacmen.submodules.get_initial_spreadsheetsModule autopacmen.submodules.get_initial_spreadsheetsArguments

     worksheet.write(1, 0, "Fraction of masses of model-included enzymes in comparison to all enzymes (0.0 to 1.0):")
     worksheet.write(1, 1, 1.0)
     worksheet.write(2, 0, "Average saturation level (0.0 to 1.0):")
-    worksheet.write(2, 0, 1.0)
+    worksheet.write(2, 1, 1.0)
     worksheet2 = workbook.add_worksheet("Single protein data")
     worksheet2.write(0, 0, "Protein ID (as in SBML model)")
     worksheet2.write(0, 1, "Protein concentration [mmol/gDW]")
diff --git a/autopacmen/html/autopacmen/submodules/get_protein_mass_mapping.html b/autopacmen/html/autopacmen/submodules/get_protein_mass_mapping.html
index 9763822..55bd101 100644
--- a/autopacmen/html/autopacmen/submodules/get_protein_mass_mapping.html
+++ b/autopacmen/html/autopacmen/submodules/get_protein_mass_mapping.html
@@ -28,7 +28,7 @@ 
Module autopacmen.submodules.get_protein_mass_mapping
 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -54,7 +54,7 @@ 
Module autopacmen.submodules.get_protein_mass_mappingModule autopacmen.submodules.get_protein_mass_mappingModule autopacmen.submodules.get_protein_mass_mappingModule autopacmen.submodules.get_protein_mass_mappingModule autopacmen.submodules.get_protein_mass_mappingOutput

     # are searched at once in order to save an amount of UniProt API calls)
     # and retrieve the amino acid sequences and using these sequences, their
     # masses.
+    print("Starting UniProt ID<->Protein mass search using UniProt API...")
     uniprot_ids = list(uniprot_id_protein_id_mapping.keys())
     batch_size = 5
     batch_start = 0
@@ -311,6 +318,7 @@ 
Output

         # the right associated masses are being picked.
         query = " OR ".join(batch)
         uniprot_query_url = f"https://www.uniprot.org/uniprot/?query={query}&format=tab&columns=id,sequence"
+        print(f"UniProt batch search for: {query}")
 
         # Call UniProt's API :-)
         uniprot_data = requests.get(uniprot_query_url).text.split("\n")
@@ -324,7 +332,10 @@ 
Output

             uniprot_id = line.split("\t")[0]
             sequence = line.split("\t")[1]
             # Get the protein mass using biopython's associated function for amino acid sequences
-            mass = ProteinAnalysis(sequence, monoisotopic=False).molecular_weight()
+            try:
+                mass = ProteinAnalysis(sequence, monoisotopic=False).molecular_weight()
+            except ValueError:  # e.g. if an "X" is in a sequence
+                continue
             uniprot_id_protein_mass_mapping[uniprot_id] = float(mass)
 
         # Create the pickled cache files for the searched protein masses
@@ -347,6 +358,7 @@ 
Output

             protein_id_mass_mapping[protein_id] = uniprot_id_protein_mass_mapping[uniprot_id]
 
     # Write protein mass list JSON :D
+    print("Protein ID<->Mass mapping done!")
     json_write(basepath+"_protein_id_mass_mapping.json", protein_id_mass_mapping)

 

 

diff --git a/autopacmen/html/autopacmen/submodules/get_reactions_kcat_mapping.html b/autopacmen/html/autopacmen/submodules/get_reactions_kcat_mapping.html
index 4ce908d..43259e9 100644
--- a/autopacmen/html/autopacmen/submodules/get_reactions_kcat_mapping.html
+++ b/autopacmen/html/autopacmen/submodules/get_reactions_kcat_mapping.html
@@ -21,7 +21,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 
 

 
get_reactions_kcat_mapping.py

-
This module contains functions which in total return a mapping of
+
This module contains functions which, in total, return a mapping of
 reactions to forward and reverse reaction direction kcats.

 

 
@@ -29,7 +29,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 

 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -44,7 +44,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 # limitations under the License.
 """get_reactions_kcat_mapping.py
 
-This module contains functions which in total return a mapping of
+This module contains functions which, in total, return a mapping of
 reactions to forward and reverse reaction direction kcats.
 """
 
@@ -57,8 +57,8 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 import statistics
 from typing import Any, Dict, List
 # Internal modules
-import submodules.ncbi_taxonomy as ncbi_taxonomy
-from submodules.helper_general import ensure_folder_existence, get_files, json_load, json_write, pickle_load, pickle_write, standardize_folder
+from .ncbi_taxonomy import get_entrez_id_from_organism_full_name_batch, get_taxonomy_from_organism_ncbi_id_batch, most_taxonomic_similar
+from .helper_general import ensure_folder_existence, get_files, json_load, json_write, pickle_load, pickle_write, standardize_folder
 
 
 # PRIVATE FUNCTIONS
@@ -156,7 +156,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
     species_to_search: List[str] = []
     taxonomy_dict_cache: Dict[str, List[str]] = {}
     for species in all_species:
-        cache_filename = species + "_taxonomy"
+        cache_filename = species.replace("/", "") + "_taxonomy"
         if cache_filename in cache_files:
             cache_filepath = cache_basepath + cache_filename
             taxonomy_dict_cache[species] = pickle_load(cache_filepath)
@@ -170,15 +170,15 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
     # taxonomy dict which includes 'NOT FOUND' for all non-found organisms and the
     # taxonomies for each found organism.
     if len(species_to_search) > 0:
-        ncbi_ids = ncbi_taxonomy.get_entrez_id_from_organism_full_name_batch(species_to_search)
-        taxonomy_dict_search = ncbi_taxonomy.get_taxonomy_from_organism_ncbi_id_batch(ncbi_ids)
+        ncbi_ids = get_entrez_id_from_organism_full_name_batch(species_to_search)
+        taxonomy_dict_search = get_taxonomy_from_organism_ncbi_id_batch(ncbi_ids)
 
         for searched_species in species_to_search:
             if searched_species not in taxonomy_dict_search.keys():
                 taxonomy_dict_search[searched_species] = ["NOT FOUND"]
 
         for species in list(taxonomy_dict_search.keys()):
-            cache_filename = species + "_taxonomy"
+            cache_filename = species.replace("/", "") + "_taxonomy"
             if taxonomy_dict_search[species] == ["NOT FOUND"]:
                 cache_filename += "_NA"
             cache_filepath = cache_basepath + cache_filename
@@ -189,7 +189,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 
     # Process the taxonomies in order to find the taxonomic distances of the given organism to the organisms
     # which are present in the kcat entries.
-    score_dict = ncbi_taxonomy.most_taxonomic_similar(organism, full_taxonomy_dict)
+    score_dict = most_taxonomic_similar(organism, full_taxonomy_dict)
     for species in full_taxonomy_dict.keys():
         if species not in score_dict:
             score_dict[species] = max(score_dict.values())+1
@@ -217,6 +217,8 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
     # Get the protein database kcat for this reaction (if there is one, otherwise it returns math.nan)
     if protein_kcat_database != {}:
         protein_database_kcat = _get_kcat_from_protein_kcat_database(searched_direction, reaction, protein_kcat_database)
+    else:
+        protein_database_kcat = math.nan
 
     # Add the protein database kcat if there is one, it will influence the resulting kcat since a mean is used
     if protein_database_kcat is not math.nan:
@@ -337,7 +339,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 # PUBLIC FUNCTIONS
 def get_reactions_kcat_mapping(sbml_path: str, project_folder: str, project_name: str,
                                organism: str, kcat_database_path: str, protein_kcat_database_path: str,
-                               type_of_kcat_selection: str) -> None:
+                               type_of_kcat_selection: str = "mean") -> None:
     """Returns a reaction<->kcat mapping for the given model :D
 
     The selection of kcats is depending on the affected metabolites of the reaction direction (one
@@ -525,7 +527,7 @@ 
Module autopacmen.submodules.get_reactions_kcat_mapping<
 
Functions

 

 

-def get_reactions_kcat_mapping(sbml_path, project_folder, project_name, organism, kcat_database_path, protein_kcat_database_path, type_of_kcat_selection)
+def get_reactions_kcat_mapping(sbml_path, project_folder, project_name, organism, kcat_database_path, protein_kcat_database_path, type_of_kcat_selection='mean')
 

 

 
Returns a reaction<->kcat mapping for the given model :D

@@ -567,7 +569,7 @@ 
Output

 
 
def get_reactions_kcat_mapping(sbml_path: str, project_folder: str, project_name: str,
                                organism: str, kcat_database_path: str, protein_kcat_database_path: str,
-                               type_of_kcat_selection: str) -> None:
+                               type_of_kcat_selection: str = "mean") -> None:
     """Returns a reaction<->kcat mapping for the given model :D
 
     The selection of kcats is depending on the affected metabolites of the reaction direction (one
diff --git a/autopacmen/html/autopacmen/submodules/helper_create_model.html b/autopacmen/html/autopacmen/submodules/helper_create_model.html
index 5be4717..e51ec1d 100644
--- a/autopacmen/html/autopacmen/submodules/helper_create_model.html
+++ b/autopacmen/html/autopacmen/submodules/helper_create_model.html
@@ -55,7 +55,7 @@ 
Module autopacmen.submodules.helper_create_model<
 import openpyxl
 from typing import Any, Dict, List
 # Internal modules
-from submodules.helper_general import get_float_cell_value
+from .helper_general import get_float_cell_value
 
 
 # PRIVATE FUNCTIONS
@@ -93,12 +93,14 @@ 
Module autopacmen.submodules.helper_create_model<
             if current_cell == 1:
                 reaction_id = cell.value
                 reaction_id_gene_rules_mapping[reaction_id] = []
-                reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id] = {}
+                reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id] = {
+                }
             elif ((current_cell-1) % 2) != 0:
                 gene_rule_or_part = str(cell.value)
                 if "[" in gene_rule_or_part:
                     gene_rule_or_part = tuple(eval(gene_rule_or_part))
-                reaction_id_gene_rules_mapping[reaction_id].append(gene_rule_or_part)
+                reaction_id_gene_rules_mapping[reaction_id].append(
+                    gene_rule_or_part)
             else:
                 stoichiometry = str(cell.value)
                 stoichiometries = stoichiometry.split(";")
@@ -110,7 +112,8 @@ 
Module autopacmen.submodules.helper_create_model<
                     else:
                         single_protein = gene_rule_or_part
                     if gene_rule_or_part not in reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id].keys():
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part] = {}
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part] = {
+                        }
                     reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][gene_rule_or_part][single_protein] = \
                         float(single_stoichiometry)
                     i += 1
@@ -145,7 +148,8 @@ 
Module autopacmen.submodules.helper_create_model<
     pp_reaction.name = "prot_pool reaction for unmeasured proteins"
     pp_reaction.subsystem = "AutoPACMEN"
     pp_reaction.lower_bound = 0
-    pp_reaction.upper_bound = (p_total - p_measured) * unmeasured_protein_fraction * mean_saturation
+    pp_reaction.upper_bound = (p_total - p_measured) * \
+        unmeasured_protein_fraction * mean_saturation
     # The flux is in g/gDW
     prot_pool_metabolite = cobra.Metabolite(
         "prot_pool",
@@ -174,10 +178,12 @@ 
Module autopacmen.submodules.helper_create_model<
             reaction_setup = scenario["setup"][reaction_to_set_up]
             if "lower_bound" in reaction_setup.keys():
                 new_lower_bound = reaction_setup["lower_bound"]
-                model.reactions.get_by_id(reaction_to_set_up).lower_bound = new_lower_bound
+                model.reactions.get_by_id(
+                    reaction_to_set_up).lower_bound = new_lower_bound
             if "upper_bound" in reaction_setup.keys():
                 new_upper_bound = reaction_setup["upper_bound"]
-                model.reactions.get_by_id(reaction_to_set_up).upper_bound = new_upper_bound
+                model.reactions.get_by_id(
+                    reaction_to_set_up).upper_bound = new_upper_bound
     # Return changed model :D
     return model
 
@@ -210,7 +216,8 @@ 
Module autopacmen.submodules.helper_create_model<
         forward_reaction.upper_bound = reaction.upper_bound
         forward_reaction.lower_bound = 0
         forward_reaction.id += id_addition + "forward"
-        forward_reaction_metabolites_copy = copy.deepcopy(forward_reaction.metabolites)
+        forward_reaction_metabolites_copy = copy.deepcopy(
+            forward_reaction.metabolites)
         for key in list(forward_reaction_metabolites_copy.keys()):
             if key.id.startswith("armm_"):
                 if key.id.endswith("reverse"):
@@ -226,7 +233,8 @@ 
Module autopacmen.submodules.helper_create_model<
         reverse_reaction.id += id_addition + "reverse"
         reverse_reaction.upper_bound = -reaction.lower_bound
         reverse_reaction.lower_bound = 0
-        reverse_reaction_metabolites_copy = copy.deepcopy(reverse_reaction.metabolites)
+        reverse_reaction_metabolites_copy = copy.deepcopy(
+            reverse_reaction.metabolites)
         for key in list(reverse_reaction_metabolites_copy.keys()):
             if not key.id.startswith("armm_"):
                 reverse_reaction_metabolites_copy[key] *= -2
@@ -356,21 +364,25 @@ 
Module autopacmen.submodules.helper_create_model<
 
         new_gene_reaction_rule = ""
         reaction_id_gene_rules_mapping[new_reaction.id] = []
-        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {}
+        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {
+        }
         for element in unmeasured_elements:
             reaction_id_gene_rules_mapping[new_reaction.id].append(element)
             if type(element) is tuple:
                 for subelement in element:
                     if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys():
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                        }
                     reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement]
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][element][subelement]
                 if len(new_gene_reaction_rule) > 0:
                     new_gene_reaction_rule += " or "
                 new_gene_reaction_rule += "(" + " and ".join(element) + ")"
             else:
                 reaction_id_gene_rules_mapping[new_reaction.id].append(element)
-                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                }
                 reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \
                     reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element]
                 if len(new_gene_reaction_rule) > 0:
@@ -382,7 +394,8 @@ 
Module autopacmen.submodules.helper_create_model<
             if reaction.lower_bound >= 0:
                 new_reaction.add_metabolites({arm_metabolite: 1})
             else:
-                new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
+                new_reaction.add_metabolites(
+                    {arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
 
         if new_gene_reaction_rule != "":
             # print(f"Adding splitted reaction {new_reaction.id}")
@@ -396,18 +409,22 @@ 
Module autopacmen.submodules.helper_create_model<
         for element in measured_elements:
             new_reaction = copy.deepcopy(reaction)
             new_reaction.id += "_GPRSPLIT_"+str(current_split_no)
-            reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {}
+            reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {
+            }
             current_split_no += 1
             reaction_id_gene_rules_mapping[new_reaction.id] = [element]
             if type(element) is tuple:
                 for subelement in element:
                     if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys():
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                        }
                     reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement]
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][element][subelement]
                 new_reaction.gene_reaction_rule = " and ".join(element)
             else:
-                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                }
                 reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \
                     reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element]
                 new_reaction.gene_reaction_rule = element
@@ -417,7 +434,8 @@ 
Module autopacmen.submodules.helper_create_model<
                 if reaction.lower_bound >= 0:
                     new_reaction.add_metabolites({arm_metabolite: 1})
                 else:
-                    new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
+                    new_reaction.add_metabolites(
+                        {arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
             model.add_reactions([new_reaction])
             # print(reaction_id_gene_rules_mapping[new_reaction.id])
         model.remove_reactions([reaction])
@@ -438,9 +456,13 @@ 
Module autopacmen.submodules.helper_create_model<
     p_measured = .0
     measured_protein_ids = (protein_id_concentration_mapping.keys())
     for measured_protein_id in measured_protein_ids:
-        protein_concentration = protein_id_concentration_mapping[measured_protein_id]  # mmol/gDW
-        protein_mass = protein_id_mass_mapping[measured_protein_id]  # Da = g/mol
-        protein_mass_concentration = (protein_concentration/1000) * protein_mass  # (mol/gDW) * (g/mol) = g/gDW
+        # mmol/gDW
+        protein_concentration = protein_id_concentration_mapping[measured_protein_id]
+        # Da = g/mol
+        protein_mass = protein_id_mass_mapping[measured_protein_id]
+        # (mol/gDW) * (g/mol) = g/gDW
+        protein_mass_concentration = (
+            protein_concentration/1000) * protein_mass
         p_measured += protein_mass_concentration
     return p_measured
 
@@ -452,7 +474,8 @@ 
Module autopacmen.submodules.helper_create_model<
     ----------
     * basepath: str ~ The path in which the XLSX can be found.
     """
-    workbook = openpyxl.load_workbook(filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True)
+    workbook = openpyxl.load_workbook(
+        filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True)
     reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \
         _read_stoichiometries_worksheet(workbook)
 
@@ -478,14 +501,16 @@ 
Module autopacmen.submodules.helper_create_model<
        enzymes.
     """
     protein_id_concentration_mapping: Dict[str, float] = {}
-    workbook = openpyxl.load_workbook(filename=basepath+"_protein_data.xlsx", read_only=True)
+    workbook = openpyxl.load_workbook(
+        filename=basepath+"_protein_data.xlsx", read_only=True)
 
     worksheet = workbook["Total protein data"]
     p_total_value = worksheet.cell(row=1, column=2).value
     unmeasured_protein_fraction_value = worksheet.cell(row=2, column=2).value
     mean_saturation_value = worksheet.cell(row=3, column=2).value
     p_total = get_float_cell_value(p_total_value)
-    unmeasured_protein_fraction = get_float_cell_value(unmeasured_protein_fraction_value)
+    unmeasured_protein_fraction = get_float_cell_value(
+        unmeasured_protein_fraction_value)
     mean_saturation = get_float_cell_value(mean_saturation_value)
 
     worksheet2 = workbook["Single protein data"]
@@ -495,7 +520,8 @@ 
Module autopacmen.submodules.helper_create_model<
         if protein_id is None:
             break
         protein_concentration_value = worksheet2.cell(row=row, column=2).value
-        protein_concentration = get_float_cell_value(protein_concentration_value)
+        protein_concentration = get_float_cell_value(
+            protein_concentration_value)
         protein_id_concentration_mapping[protein_id] = protein_concentration
         row += 1
 
@@ -557,7 +583,8 @@ 
Output

     pp_reaction.name = "prot_pool reaction for unmeasured proteins"
     pp_reaction.subsystem = "AutoPACMEN"
     pp_reaction.lower_bound = 0
-    pp_reaction.upper_bound = (p_total - p_measured) * unmeasured_protein_fraction * mean_saturation
+    pp_reaction.upper_bound = (p_total - p_measured) * \
+        unmeasured_protein_fraction * mean_saturation
     # The flux is in g/gDW
     prot_pool_metabolite = cobra.Metabolite(
         "prot_pool",
@@ -600,10 +627,12 @@ 
Arguments

             reaction_setup = scenario["setup"][reaction_to_set_up]
             if "lower_bound" in reaction_setup.keys():
                 new_lower_bound = reaction_setup["lower_bound"]
-                model.reactions.get_by_id(reaction_to_set_up).lower_bound = new_lower_bound
+                model.reactions.get_by_id(
+                    reaction_to_set_up).lower_bound = new_lower_bound
             if "upper_bound" in reaction_setup.keys():
                 new_upper_bound = reaction_setup["upper_bound"]
-                model.reactions.get_by_id(reaction_to_set_up).upper_bound = new_upper_bound
+                model.reactions.get_by_id(
+                    reaction_to_set_up).upper_bound = new_upper_bound
     # Return changed model :D
     return model

 

@@ -655,7 +684,8 @@ 
Arguments

         forward_reaction.upper_bound = reaction.upper_bound
         forward_reaction.lower_bound = 0
         forward_reaction.id += id_addition + "forward"
-        forward_reaction_metabolites_copy = copy.deepcopy(forward_reaction.metabolites)
+        forward_reaction_metabolites_copy = copy.deepcopy(
+            forward_reaction.metabolites)
         for key in list(forward_reaction_metabolites_copy.keys()):
             if key.id.startswith("armm_"):
                 if key.id.endswith("reverse"):
@@ -671,7 +701,8 @@ 
Arguments

         reverse_reaction.id += id_addition + "reverse"
         reverse_reaction.upper_bound = -reaction.lower_bound
         reverse_reaction.lower_bound = 0
-        reverse_reaction_metabolites_copy = copy.deepcopy(reverse_reaction.metabolites)
+        reverse_reaction_metabolites_copy = copy.deepcopy(
+            reverse_reaction.metabolites)
         for key in list(reverse_reaction_metabolites_copy.keys()):
             if not key.id.startswith("armm_"):
                 reverse_reaction_metabolites_copy[key] *= -2
@@ -820,21 +851,25 @@ 
Arguments

 
         new_gene_reaction_rule = ""
         reaction_id_gene_rules_mapping[new_reaction.id] = []
-        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {}
+        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {
+        }
         for element in unmeasured_elements:
             reaction_id_gene_rules_mapping[new_reaction.id].append(element)
             if type(element) is tuple:
                 for subelement in element:
                     if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys():
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                        }
                     reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement]
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][element][subelement]
                 if len(new_gene_reaction_rule) > 0:
                     new_gene_reaction_rule += " or "
                 new_gene_reaction_rule += "(" + " and ".join(element) + ")"
             else:
                 reaction_id_gene_rules_mapping[new_reaction.id].append(element)
-                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                }
                 reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \
                     reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element]
                 if len(new_gene_reaction_rule) > 0:
@@ -846,7 +881,8 @@ 
Arguments

             if reaction.lower_bound >= 0:
                 new_reaction.add_metabolites({arm_metabolite: 1})
             else:
-                new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
+                new_reaction.add_metabolites(
+                    {arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
 
         if new_gene_reaction_rule != "":
             # print(f"Adding splitted reaction {new_reaction.id}")
@@ -860,18 +896,22 @@ 
Arguments

         for element in measured_elements:
             new_reaction = copy.deepcopy(reaction)
             new_reaction.id += "_GPRSPLIT_"+str(current_split_no)
-            reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {}
+            reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id] = {
+            }
             current_split_no += 1
             reaction_id_gene_rules_mapping[new_reaction.id] = [element]
             if type(element) is tuple:
                 for subelement in element:
                     if element not in reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id].keys():
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                        }
                     reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][subelement] = \
-                        reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][subelement]
+                        reaction_id_gene_rules_protein_stoichiometry_mapping[
+                            reaction_id][element][subelement]
                 new_reaction.gene_reaction_rule = " and ".join(element)
             else:
-                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {}
+                reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element] = {
+                }
                 reaction_id_gene_rules_protein_stoichiometry_mapping[new_reaction.id][element][element] = \
                     reaction_id_gene_rules_protein_stoichiometry_mapping[reaction_id][element][element]
                 new_reaction.gene_reaction_rule = element
@@ -881,7 +921,8 @@ 
Arguments

                 if reaction.lower_bound >= 0:
                     new_reaction.add_metabolites({arm_metabolite: 1})
                 else:
-                    new_reaction.add_metabolites({arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
+                    new_reaction.add_metabolites(
+                        {arm_metabolite_fwd: 1, arm_metabolite_rev: 1})
             model.add_reactions([new_reaction])
             # print(reaction_id_gene_rules_mapping[new_reaction.id])
         model.remove_reactions([reaction])
@@ -917,9 +958,13 @@ 
Arguments

     p_measured = .0
     measured_protein_ids = (protein_id_concentration_mapping.keys())
     for measured_protein_id in measured_protein_ids:
-        protein_concentration = protein_id_concentration_mapping[measured_protein_id]  # mmol/gDW
-        protein_mass = protein_id_mass_mapping[measured_protein_id]  # Da = g/mol
-        protein_mass_concentration = (protein_concentration/1000) * protein_mass  # (mol/gDW) * (g/mol) = g/gDW
+        # mmol/gDW
+        protein_concentration = protein_id_concentration_mapping[measured_protein_id]
+        # Da = g/mol
+        protein_mass = protein_id_mass_mapping[measured_protein_id]
+        # (mol/gDW) * (g/mol) = g/gDW
+        protein_mass_concentration = (
+            protein_concentration/1000) * protein_mass
         p_measured += protein_mass_concentration
     return p_measured

 
@@ -944,7 +989,8 @@ 
Arguments

     ----------
     * basepath: str ~ The path in which the XLSX can be found.
     """
-    workbook = openpyxl.load_workbook(filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True)
+    workbook = openpyxl.load_workbook(
+        filename=basepath+"_enzyme_stoichiometries.xlsx", read_only=True)
     reaction_id_gene_rules_mapping, reaction_id_gene_rules_protein_stoichiometry_mapping = \
         _read_stoichiometries_worksheet(workbook)
 
@@ -992,14 +1038,16 @@ 
Output

        enzymes.
     """
     protein_id_concentration_mapping: Dict[str, float] = {}
-    workbook = openpyxl.load_workbook(filename=basepath+"_protein_data.xlsx", read_only=True)
+    workbook = openpyxl.load_workbook(
+        filename=basepath+"_protein_data.xlsx", read_only=True)
 
     worksheet = workbook["Total protein data"]
     p_total_value = worksheet.cell(row=1, column=2).value
     unmeasured_protein_fraction_value = worksheet.cell(row=2, column=2).value
     mean_saturation_value = worksheet.cell(row=3, column=2).value
     p_total = get_float_cell_value(p_total_value)
-    unmeasured_protein_fraction = get_float_cell_value(unmeasured_protein_fraction_value)
+    unmeasured_protein_fraction = get_float_cell_value(
+        unmeasured_protein_fraction_value)
     mean_saturation = get_float_cell_value(mean_saturation_value)
 
     worksheet2 = workbook["Single protein data"]
@@ -1009,7 +1057,8 @@ 
Output

         if protein_id is None:
             break
         protein_concentration_value = worksheet2.cell(row=row, column=2).value
-        protein_concentration = get_float_cell_value(protein_concentration_value)
+        protein_concentration = get_float_cell_value(
+            protein_concentration_value)
         protein_id_concentration_mapping[protein_id] = protein_concentration
         row += 1
 
diff --git a/autopacmen/html/autopacmen/submodules/index.html b/autopacmen/html/autopacmen/submodules/index.html
index 3d81b21..524706b 100644
--- a/autopacmen/html/autopacmen/submodules/index.html
+++ b/autopacmen/html/autopacmen/submodules/index.html
@@ -17,7 +17,7 @@
 

 

 

-
Namespace autopacmen.submodules

+
Module autopacmen.submodules

 

 

 

diff --git a/autopacmen/html/autopacmen/submodules/kegg.html b/autopacmen/html/autopacmen/submodules/kegg.html
index 365a124..d13f155 100644
--- a/autopacmen/html/autopacmen/submodules/kegg.html
+++ b/autopacmen/html/autopacmen/submodules/kegg.html
@@ -67,7 +67,8 @@ 
Module autopacmen.submodules.kegg

     # Use the KEGG API's "info" function
     kegg_organism_info = kegg_rest("info", organism_kegg_id)
     # The name is after many spaces and without unneccesary spaces at the beginning and the end
-    organism_full_name = kegg_organism_info[0].split("    ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip()
+    organism_full_name = kegg_organism_info[0].split(
+        "    ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip()
     # Return the retrieved name :D
     return organism_full_name
 
@@ -128,7 +129,8 @@ 
Module autopacmen.submodules.kegg

     batched_input_ids: List[str] = []
     current_batch_start = 0
     while current_batch_start < len(input_ids):
-        combined_input_ids = "+".join(input_ids[current_batch_start:current_batch_start + batch_size])
+        combined_input_ids = "+".join(
+            input_ids[current_batch_start:current_batch_start + batch_size])
         batched_input_ids.append(combined_input_ids)
         current_batch_start += batch_size
 
@@ -179,7 +181,8 @@ 
Arguments

     # Use the KEGG API's "info" function
     kegg_organism_info = kegg_rest("info", organism_kegg_id)
     # The name is after many spaces and without unneccesary spaces at the beginning and the end
-    organism_full_name = kegg_organism_info[0].split("    ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip()
+    organism_full_name = kegg_organism_info[0].split(
+        "    ")[-1].replace("KEGG Genes Database", "").lstrip().rstrip()
     # Return the retrieved name :D
     return organism_full_name
@@ -278,7 +281,8 @@

Arguments

batched_input_ids: List[str] = [] current_batch_start = 0 while current_batch_start < len(input_ids): - combined_input_ids = "+".join(input_ids[current_batch_start:current_batch_start + batch_size]) + combined_input_ids = "+".join( + input_ids[current_batch_start:current_batch_start + batch_size]) batched_input_ids.append(combined_input_ids) current_batch_start += batch_size diff --git a/autopacmen/html/autopacmen/submodules/ncbi_taxonomy.html b/autopacmen/html/autopacmen/submodules/ncbi_taxonomy.html index 3cbff45..80037ed 100644 --- a/autopacmen/html/autopacmen/submodules/ncbi_taxonomy.html +++ b/autopacmen/html/autopacmen/submodules/ncbi_taxonomy.html @@ -137,7 +137,8 @@

Module autopacmen.submodules.ncbi_taxonomy

organism_ncbi_ids = record["IdList"][::-1] # txid+NUMBER+[ORGN] is the form that is used for NCBI BLASTP searches to restrict a search # to an organism using the Entrez query constraint input. - organism_ncbi_ids_result += ["txid"+x+"[ORGN]" for x in organism_ncbi_ids] + organism_ncbi_ids_result += ["txid"+x + + "[ORGN]" for x in organism_ncbi_ids] batch_start += NCBI_BATCH_SIZE time.sleep(WAIT_TIME) @@ -327,7 +328,8 @@

Functions

organism_ncbi_ids = record["IdList"][::-1] # txid+NUMBER+[ORGN] is the form that is used for NCBI BLASTP searches to restrict a search # to an organism using the Entrez query constraint input. - organism_ncbi_ids_result += ["txid"+x+"[ORGN]" for x in organism_ncbi_ids] + organism_ncbi_ids_result += ["txid"+x + + "[ORGN]" for x in organism_ncbi_ids] batch_start += NCBI_BATCH_SIZE time.sleep(WAIT_TIME) diff --git a/autopacmen/html/autopacmen/submodules/parse_bigg_metabolites_file.html b/autopacmen/html/autopacmen/submodules/parse_bigg_metabolites_file.html index 392398d..a4e3af4 100644 --- a/autopacmen/html/autopacmen/submodules/parse_bigg_metabolites_file.html +++ b/autopacmen/html/autopacmen/submodules/parse_bigg_metabolites_file.html @@ -50,7 +50,7 @@

Module autopacmen.submodules.parse_bigg_metabolites_file # IMPORTS # Internal modules -from submodules.helper_general import json_write, standardize_folder +from .helper_general import json_write, standardize_folder # PUBLIC FUNCTIONS SECTIONS @@ -107,7 +107,8 @@

Module autopacmen.submodules.parse_bigg_metabolites_file bigg_id_name_mapping[bigg_id] = bigg_id # Write the JSON in the given folder :D - json_write(json_output_folder+"bigg_id_name_mapping.json", bigg_id_name_mapping) + json_write(json_output_folder+"bigg_id_name_mapping.json", + bigg_id_name_mapping)
@@ -203,7 +204,8 @@

Output

bigg_id_name_mapping[bigg_id] = bigg_id # Write the JSON in the given folder :D - json_write(json_output_folder+"bigg_id_name_mapping.json", bigg_id_name_mapping) + json_write(json_output_folder+"bigg_id_name_mapping.json", + bigg_id_name_mapping) diff --git a/autopacmen/html/autopacmen/submodules/parse_brenda_json_for_model.html b/autopacmen/html/autopacmen/submodules/parse_brenda_json_for_model.html index 8e98e9c..f3f9716 100644 --- a/autopacmen/html/autopacmen/submodules/parse_brenda_json_for_model.html +++ b/autopacmen/html/autopacmen/submodules/parse_brenda_json_for_model.html @@ -53,7 +53,7 @@

Module autopacmen.submodules.parse_brenda_json_for_model import cobra import copy # Internal modules -from submodules.helper_general import is_fitting_ec_numbers, json_load, json_write +from .helper_general import is_fitting_ec_numbers, json_load, json_write from typing import Any, Dict, List @@ -140,7 +140,8 @@

Module autopacmen.submodules.parse_brenda_json_for_model for ec_number in ec_numbers_of_model: entry_error = False if ec_number in brenda_kcat_database_original.keys(): - ec_number_entry = _get_transfer_ec_number_entry(ec_number, brenda_kcat_database_original) + ec_number_entry = _get_transfer_ec_number_entry( + ec_number, brenda_kcat_database_original) if "ERROR" in ec_number_entry.keys(): entry_error = True else: @@ -152,9 +153,11 @@

Module autopacmen.submodules.parse_brenda_json_for_model for wildcard_level in range(1, 5): for database_ec_number in list(brenda_kcat_database_original.keys()): if is_fitting_ec_numbers(ec_number, database_ec_number, wildcard_level): - database_ec_number_entry = _get_transfer_ec_number_entry(database_ec_number, brenda_kcat_database_original) + database_ec_number_entry = _get_transfer_ec_number_entry( + database_ec_number, brenda_kcat_database_original) if "ERROR" not in database_ec_number_entry.keys(): - eligible_ec_number_entries.append(database_ec_number_entry) + eligible_ec_number_entries.append( + database_ec_number_entry) if len(eligible_ec_number_entries) > 0: break ec_number_entry = {} @@ -164,7 +167,8 @@

Module autopacmen.submodules.parse_brenda_json_for_model if metabolite_key not in ec_number_entry.keys(): ec_number_entry[metabolite_key] = metabolite_entry else: - ec_number_entry[metabolite_key] = {**ec_number_entry[metabolite_key], **metabolite_entry} + ec_number_entry[metabolite_key] = { + **ec_number_entry[metabolite_key], **metabolite_entry} ec_number_entry["WILDCARD"] = True brenda_kcat_database_for_model[ec_number] = ec_number_entry @@ -258,7 +262,8 @@

Output

for ec_number in ec_numbers_of_model: entry_error = False if ec_number in brenda_kcat_database_original.keys(): - ec_number_entry = _get_transfer_ec_number_entry(ec_number, brenda_kcat_database_original) + ec_number_entry = _get_transfer_ec_number_entry( + ec_number, brenda_kcat_database_original) if "ERROR" in ec_number_entry.keys(): entry_error = True else: @@ -270,9 +275,11 @@

Output

for wildcard_level in range(1, 5): for database_ec_number in list(brenda_kcat_database_original.keys()): if is_fitting_ec_numbers(ec_number, database_ec_number, wildcard_level): - database_ec_number_entry = _get_transfer_ec_number_entry(database_ec_number, brenda_kcat_database_original) + database_ec_number_entry = _get_transfer_ec_number_entry( + database_ec_number, brenda_kcat_database_original) if "ERROR" not in database_ec_number_entry.keys(): - eligible_ec_number_entries.append(database_ec_number_entry) + eligible_ec_number_entries.append( + database_ec_number_entry) if len(eligible_ec_number_entries) > 0: break ec_number_entry = {} @@ -282,7 +289,8 @@

Output

if metabolite_key not in ec_number_entry.keys(): ec_number_entry[metabolite_key] = metabolite_entry else: - ec_number_entry[metabolite_key] = {**ec_number_entry[metabolite_key], **metabolite_entry} + ec_number_entry[metabolite_key] = { + **ec_number_entry[metabolite_key], **metabolite_entry} ec_number_entry["WILDCARD"] = True brenda_kcat_database_for_model[ec_number] = ec_number_entry diff --git a/autopacmen/html/autopacmen/submodules/parse_brenda_textfile.html b/autopacmen/html/autopacmen/submodules/parse_brenda_textfile.html index 119a814..fc70db9 100644 --- a/autopacmen/html/autopacmen/submodules/parse_brenda_textfile.html +++ b/autopacmen/html/autopacmen/submodules/parse_brenda_textfile.html @@ -50,7 +50,7 @@

Module autopacmen.submodules.parse_brenda_textfileModule autopacmen.submodules.parse_brenda_textfileModule autopacmen.submodules.parse_brenda_textfileModule autopacmen.submodules.parse_brenda_textfileModule autopacmen.submodules.parse_brenda_textfileOutput

'REST' stands for a substrate without found BIGG ID. """ # Standardize output folder - bigg_metabolites_json_folder = standardize_folder(bigg_metabolites_json_folder) + bigg_metabolites_json_folder = standardize_folder( + bigg_metabolites_json_folder) # Load BIGG ID <-> metabolite name mapping :D - bigg_id_name_mapping: Dict[str, str] = json_load(bigg_metabolites_json_folder+"bigg_id_name_mapping.json") + bigg_id_name_mapping: Dict[str, str] = json_load( + bigg_metabolites_json_folder+"bigg_id_name_mapping.json") # Load BRENDA textfile as list of strings without newlines :D - with open(brenda_textfile_path, "r") as f: + with open(brenda_textfile_path, "r", encoding="utf-8") as f: lines = f.readlines() lines = [x.replace("\n", "") for x in lines] @@ -406,9 +419,16 @@

Output

for ec_number in ec_numbers: if "(transferred to " in ec_number: actual_ec_number = ec_number.split(" (transferred")[0] - brenda_kcat_database[actual_ec_number] = {} - brenda_kcat_database[actual_ec_number]["TRANSFER"] = \ - ec_number.lower().split("(transferred to ec")[1].replace(")", "").lstrip() + try: + brenda_kcat_database[actual_ec_number] = {} + brenda_kcat_database[actual_ec_number]["TRANSFER"] = \ + ec_number.lower().replace(" ", " ").split( + "(transferred to ec")[1].replace(")", "").lstrip() + except Exception: + # Some transfers go to general subgroups instead of single EC numbers so that + # no kcat database can be built from it D: + print("WARNING: BRENDA text file line " + + ec_number + " is not interpretable!") continue brenda_kcat_database[ec_number] = {} @@ -419,17 +439,18 @@

Output

reference_number = organism_line.split("#")[1] organism_line_split_first_part = organism_line.split("# ")[1] organism_line_split = organism_line_split_first_part.split(" ") - organism_line_split = [x for x in organism_line_split if len(x) > 0] + organism_line_split = [ + x for x in organism_line_split if len(x) > 0] end = 1 for part in organism_line_split: # Some organism names contain their SwissProt or UniProt ID, # since we don't nned them they are excluded if ("swissprot" in part.lower()) or \ - (part.lower() == "and") or \ - ("uniprot" in part.lower()) or \ - ("genbank" in part.lower()) or \ - ("trembl" in part.lower()): + (part.lower() == "and") or \ + ("uniprot" in part.lower()) or \ + ("genbank" in part.lower()) or \ + ("trembl" in part.lower()): end -= 2 break @@ -450,7 +471,8 @@

Output

continue reference_number = kcat_line.split("#")[1].split(",")[0] organism = reference_number_organism_mapping[reference_number] - kcat_str = "".join(kcat_line.split("#")[2]).split("{")[0].lstrip().rstrip() + kcat_str = "".join(kcat_line.split("#")[2]).split("{")[ + 0].lstrip().rstrip() kcat = max([float(x) for x in kcat_str.split("-") if len(x) > 0]) substrate = "".join(kcat_line.split("{")[1]).split("}")[0] diff --git a/autopacmen/html/autopacmen/submodules/parse_sabio_rk.html b/autopacmen/html/autopacmen/submodules/parse_sabio_rk.html index dde8b3b..7cb16c9 100644 --- a/autopacmen/html/autopacmen/submodules/parse_sabio_rk.html +++ b/autopacmen/html/autopacmen/submodules/parse_sabio_rk.html @@ -57,7 +57,7 @@

Module autopacmen.submodules.parse_sabio_rk

import time from typing import Any, Dict, List # Internal libraries -from submodules.helper_general import ensure_folder_existence, get_files, is_fitting_ec_numbers, json_load, json_write +from .helper_general import ensure_folder_existence, get_files, is_fitting_ec_numbers, json_load, json_write # SCRIPT-WIDE CONSTANTS diff --git a/autopacmen/html/autopacmen/submodules/parse_sabio_rk_for_model.html b/autopacmen/html/autopacmen/submodules/parse_sabio_rk_for_model.html index edc01b1..f3509e7 100644 --- a/autopacmen/html/autopacmen/submodules/parse_sabio_rk_for_model.html +++ b/autopacmen/html/autopacmen/submodules/parse_sabio_rk_for_model.html @@ -53,8 +53,8 @@

Module autopacmen.submodules.parse_sabio_rk_for_modelModule autopacmen.submodules.parse_sabio_rk_for_modelModule autopacmen.submodules.parse_sabio_rk_for_model + parse_sabio_rk_for_model(model, json_output_path, + bigg_id_name_mapping_path)

@@ -233,7 +235,8 @@

Output

ec_numbers_list = list(set(ec_numbers_list)) # GET KCATS FOR EC NUMBERS - ec_number_kcat_mapping = sabio_rk.get_ec_number_kcats_wildcard_search(ec_numbers_list, bigg_id_name_mapping_path) + ec_number_kcat_mapping = get_ec_number_kcats_wildcard_search( + ec_numbers_list, bigg_id_name_mapping_path) json_write(json_output_path, ec_number_kcat_mapping) @@ -262,7 +265,8 @@

Arguments

""" # LOAD SBML MODEL model: cobra.Model = cobra.io.read_sbml_model(sbml_path) - parse_sabio_rk_for_model(model, json_output_path, bigg_id_name_mapping_path) + parse_sabio_rk_for_model(model, json_output_path, + bigg_id_name_mapping_path) diff --git a/autopacmen/html/autopacmen/submodules/reaction_flux_control_by_scenario.html b/autopacmen/html/autopacmen/submodules/reaction_flux_control_by_scenario.html index 7692c3b..5447404 100644 --- a/autopacmen/html/autopacmen/submodules/reaction_flux_control_by_scenario.html +++ b/autopacmen/html/autopacmen/submodules/reaction_flux_control_by_scenario.html @@ -28,7 +28,7 @@

Module autopacmen.submodules.reaction_flux_control_by_sc 
#!/usr/bin/env python3
 #
-# Copyright 2019 PSB
+# Copyright 2019-2020 PSB
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -50,14 +50,14 @@ 
Module autopacmen.submodules.reaction_flux_control_by_sc
 # External modules
 import cobra
 # Internal modules
-from submodules.helper_create_model import apply_scenario_on_model
-from submodules.helper_general import standardize_folder
+from .helper_create_model import apply_scenario_on_model
+from .helper_general import standardize_folder
 
 
 # PRIVATE FUNCTIONS
 def _reaction_flux_control(model: cobra.Model, output_folder: str, project_name: str,
                            scenario_key: str, objective: str):
-    """Calculated the reaction flux control for the given model.
+    """Calculate the reaction flux control for the given model.
 
     Arguments
     ----------
@@ -93,7 +93,8 @@ 
Module autopacmen.submodules.reaction_flux_control_by_sc
             continue
 
         # Proceed only if the raction has a protein constraint
-        is_with_protein_pool = "prot_pool" in [x.id for x in reaction.metabolites]
+        is_with_protein_pool = "prot_pool" in [
+            x.id for x in reaction.metabolites]
         if not is_with_protein_pool:
             continue
 
@@ -102,7 +103,8 @@ 
Module autopacmen.submodules.reaction_flux_control_by_sc
         # to the original solution
         with model:
             prot_pool_stoichiometry = reaction.metabolites[prot_pool_metabolite]
-            reaction.subtract_metabolites({prot_pool_metabolite: prot_pool_stoichiometry})
+            reaction.subtract_metabolites(
+                {prot_pool_metabolite: prot_pool_stoichiometry})
             solution = model.optimize()
             base_solution_flux = base_solution.fluxes[objective]
             changed_solution_flux = solution.fluxes[objective]
@@ -140,7 +142,7 @@ 
Module autopacmen.submodules.reaction_flux_control_by_sc
 
     Output
     ----------
-    Rection flux control files in the given folder (see _reaction_flux_control()'s comment for more)
+    Reaction flux control files in the given folder (see _reaction_flux_control()'s comment for more)
     """
     # Standardize output folder
     output_folder = standardize_folder(output_folder)
@@ -151,13 +153,14 @@ 
Module autopacmen.submodules.reaction_flux_control_by_sc
         objective = scenario["target"]["reaction"]
         with model:
             model = apply_scenario_on_model(model, scenario)
-            _reaction_flux_control(model, output_folder, project_name, scenario_key, objective)
+            _reaction_flux_control(model, output_folder,
+                                   project_name, scenario_key, objective)
 
 
 """
 Example:
 from ec_model_data_set_up_model import set_up_ec_model_with_sbml
-model: cobra.Model = set_up_ec_model_with_sbml("ec_model_output/iJO1366_sMOMENT.xml")
+model: cobra.Model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT.xml")
 reaction_flux_control_by_c_source(model, OUTPUT_FOLDER, PROJECT_NAME, CHANGE, exchange_reactions, OBJECTIVE)
 """
@@ -186,7 +189,7 @@

Arguments

applied on the model, one by one

Output

-

Rection flux control files in the given folder (see _reaction_flux_control()'s comment for more)

+

Reaction flux control files in the given folder (see _reaction_flux_control()'s comment for more)

Expand source code @@ -208,7 +211,7 @@

Output

Output ---------- - Rection flux control files in the given folder (see _reaction_flux_control()'s comment for more) + Reaction flux control files in the given folder (see _reaction_flux_control()'s comment for more) """ # Standardize output folder output_folder = standardize_folder(output_folder) @@ -219,7 +222,8 @@

Output

objective = scenario["target"]["reaction"] with model: model = apply_scenario_on_model(model, scenario) - _reaction_flux_control(model, output_folder, project_name, scenario_key, objective) + _reaction_flux_control(model, output_folder, + project_name, scenario_key, objective)
diff --git a/autopacmen/modeling_create_gecko_model.py b/autopacmen/modeling_create_gecko_model.py index 9217673..8c86d27 100644 --- a/autopacmen/modeling_create_gecko_model.py +++ b/autopacmen/modeling_create_gecko_model.py @@ -20,7 +20,7 @@ import click from typing import List # Internal modules -from submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml +from .submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml # Set-up console arguments using click decorators diff --git a/autopacmen/modeling_create_smoment_model.py b/autopacmen/modeling_create_smoment_model.py index a90e0be..0111995 100644 --- a/autopacmen/modeling_create_smoment_model.py +++ b/autopacmen/modeling_create_smoment_model.py @@ -20,7 +20,7 @@ import click from typing import List # Internal modules -from submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml +from .submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml # Set-up console arguments using click decorators diff --git a/autopacmen/modeling_get_initial_spreadsheets.py b/autopacmen/modeling_get_initial_spreadsheets.py index 43993a1..4384964 100644 --- a/autopacmen/modeling_get_initial_spreadsheets.py +++ b/autopacmen/modeling_get_initial_spreadsheets.py @@ -19,7 +19,7 @@ """ import click -from submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml +from .submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml @click.command() diff --git a/autopacmen/modeling_get_protein_mass_mapping.py b/autopacmen/modeling_get_protein_mass_mapping.py index d372154..e4f858e 100644 --- a/autopacmen/modeling_get_protein_mass_mapping.py +++ b/autopacmen/modeling_get_protein_mass_mapping.py @@ -22,7 +22,7 @@ # External modules import click # Internal modules -from submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml +from .submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml # Set-up console arguments using click decorators diff --git a/autopacmen/modeling_get_reactions_kcat_mapping.py b/autopacmen/modeling_get_reactions_kcat_mapping.py index 8b69429..71d7b80 100644 --- a/autopacmen/modeling_get_reactions_kcat_mapping.py +++ b/autopacmen/modeling_get_reactions_kcat_mapping.py @@ -22,7 +22,7 @@ # External modules import click # Internal modules -from submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping +from .submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping # Set-up console arguments using click decorators diff --git a/autopacmen/optimization_apply_manual_changes.py b/autopacmen/optimization_apply_manual_changes.py index ec9519a..d20a25e 100644 --- a/autopacmen/optimization_apply_manual_changes.py +++ b/autopacmen/optimization_apply_manual_changes.py @@ -24,7 +24,7 @@ import cobra from typing import Dict, Tuple, Union # Internal modules -from submodules.apply_manual_changes import apply_manual_changes +from .submodules.apply_manual_changes import apply_manual_changes # Set-up console arguments using click decorators diff --git a/autopacmen/submodules/reaction_flux_control_by_scenario.py b/autopacmen/submodules/reaction_flux_control_by_scenario.py index b045228..8618cf3 100644 --- a/autopacmen/submodules/reaction_flux_control_by_scenario.py +++ b/autopacmen/submodules/reaction_flux_control_by_scenario.py @@ -132,6 +132,6 @@ def reaction_flux_control_by_scenario(model: cobra.Model, output_folder: str, pr """ Example: from ec_model_data_set_up_model import set_up_ec_model_with_sbml -model: cobra.Model = set_up_ec_model_with_sbml("ec_model_output/iJO1366_sMOMENT.xml") +model: cobra.Model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT.xml") reaction_flux_control_by_c_source(model, OUTPUT_FOLDER, PROJECT_NAME, CHANGE, exchange_reactions, OBJECTIVE) """ diff --git a/docs/manual.odt b/docs/manual.odt new file mode 100644 index 0000000000000000000000000000000000000000..00fd68ce157ea17bb67850543ded5cf3282c0d70 GIT binary patch literal 48044 zcmb@tbCfSVw=UYYZF{xtUTxd9ZF{wC+pBGBwQZZfw#~ENci-=heeXE?{B<%$DoIr; 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have to remove all active Python scripts (such as all REM beggining with "ec_model_") -pdoc3 --force --output-dir "./autopacmen/html/" "autopacmen" +pdoc3 --force --html --output-dir "./autopacmen/html/" "autopacmen" diff --git a/generate_source_code_docs.sh b/generate_source_code_docs.sh index 4481526..a7394e2 100755 --- a/generate_source_code_docs.sh +++ b/generate_source_code_docs.sh @@ -2,4 +2,4 @@ # In order to run this script, you have to install pdoc3 first # and you have to remove all active Python scripts (such as all # beggining with "ec_model_") -pdoc3 --force --output-dir "./autopacmen/html/" "autopacmen" +pdoc3 --force --html --output-dir "./autopacmen/html/" "autopacmen" diff --git a/autopacmen/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py b/iJO1366star/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py similarity index 57% rename from autopacmen/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py rename to iJO1366star/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py index 6a64ec0..1a53aa1 100644 --- a/autopacmen/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py +++ b/iJO1366star/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py +"""./iJO1366star/ec_model_2019_06_25_CALIBRATOR_get_reaction_flux_control_and_differential_reactions.py This script constains an exemplary use of the AutoPACMEN Model Calibrator Python functions as described in AutoPACMEN's manual. @@ -22,28 +22,30 @@ # External modules import cobra # Internal modules -from .ec_model_2019_06_25_data_scenarios_for_optimization import ec_model_scenarios_for_optimization -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -from .submodules.reaction_flux_control_by_scenario import reaction_flux_control_by_scenario -from .submodules.get_differential_reactions import get_differential_reactions -from .submodules.helper_general import json_write +from ec_model_2019_06_25_data_scenarios_for_optimization import ec_model_scenarios_for_optimization +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from autopacmen.submodules.reaction_flux_control_by_scenario import reaction_flux_control_by_scenario +from autopacmen.submodules.get_differential_reactions import get_differential_reactions +from autopacmen.submodules.helper_general import json_write # Set-up of project -flux_control_folder = "ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/" +flux_control_folder = "iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/" project_name = "psb_orth" # Read SBML model print("Reading SBML model...") -original_thermogecko_sbml_path: str = "ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml" -model: cobra.Model = set_up_ec_model_with_sbml(original_thermogecko_sbml_path, .095) +original_thermogecko_sbml_path: str = "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml" +model: cobra.Model = set_up_ec_model_with_sbml( + original_thermogecko_sbml_path, .095) # Set protein bound model.reactions.get_by_id("ER_pool_TG_").upper_bound = .095 # Get flux controlling proteins print("Getting flux control files...") -reaction_flux_control_by_scenario(model, flux_control_folder, project_name, ec_model_scenarios_for_optimization) +reaction_flux_control_by_scenario( + model, flux_control_folder, project_name, ec_model_scenarios_for_optimization) # Get differential proteins print("Getting differential reactions (Growth)...") @@ -58,4 +60,5 @@ unique_reactions = unique_differential_reactions_of_scenarios[scenario_key] for unique_reaction in unique_reactions: print(f'"R_{unique_reaction}",') -json_write("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json", unique_differential_reactions_of_scenarios) +json_write("./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json", + unique_differential_reactions_of_scenarios) diff --git a/autopacmen/ec_model_2019_06_25_analysis_fva_prot_pool.py b/iJO1366star/ec_model_2019_06_25_analysis_fva_prot_pool.py similarity index 75% rename from autopacmen/ec_model_2019_06_25_analysis_fva_prot_pool.py rename to iJO1366star/ec_model_2019_06_25_analysis_fva_prot_pool.py index b16faae..0c42dc5 100644 --- a/autopacmen/ec_model_2019_06_25_analysis_fva_prot_pool.py +++ b/iJO1366star/ec_model_2019_06_25_analysis_fva_prot_pool.py @@ -18,10 +18,11 @@ """ -from .submodules.fva_prot_pool import fva_prot_pool -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from autopacmen.submodules.fva_prot_pool import fva_prot_pool +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -model = set_up_ec_model_with_sbml("ec_model_output/iJO1366_GECKO.xml", .225) +model = set_up_ec_model_with_sbml( + "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml", .225) model.reactions.EX_glc__D_e.lower_bound = -1000 prot_pools = [.3] prot_pool_metabolite = model.metabolites.prot_pool diff --git a/autopacmen/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py b/iJO1366star/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py similarity index 92% rename from autopacmen/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py rename to iJO1366star/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py index 7bcf3d7..7fda1b7 100644 --- a/autopacmen/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py +++ b/iJO1366star/ec_model_2019_06_25_compare_gecko_and_gecko_analogon.py @@ -17,9 +17,9 @@ import cobra gecko = cobra.io.read_sbml_model( - "ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml") + "./iJO1366star/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml") analogon = cobra.io.read_sbml_model( - "ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml") + "./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml") gecko_reactions_with_arm = [] for reaction in gecko.reactions: diff --git a/autopacmen/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py b/iJO1366star/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py similarity index 84% rename from autopacmen/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py rename to iJO1366star/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py index 5b510b2..a616777 100644 --- a/autopacmen/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py +++ b/iJO1366star/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py +"""./iJO1366star/ec_model_2019_06_25_data_read_supplementary_table_of_keff_paper.py Converts the data from the keff paper into a more machine-readable JSON. """ @@ -23,10 +23,10 @@ import openpyxl from typing import Any, Dict, List -from .submodules.helper_general import json_write +from autopacmen.submodules.helper_general import json_write # Get kcats -workbook = openpyxl.load_workbook("ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx", read_only=True) +workbook = openpyxl.load_workbook("./iJO1366star/ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx", read_only=True) worksheet = workbook["Table S2"] gene_id_data_mapping: Dict[str, Dict[str, Any]] = {} @@ -62,7 +62,7 @@ # Get directionality data -model = cobra.io.read_sbml_model("ec_model_2019_06_25_input/iJO1366.xml") +model = cobra.io.read_sbml_model("./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml") pfba_solution = cobra.flux_analysis.pfba(model) for reaction in model.reactions: gene_reaction_rule = reaction.gene_reaction_rule @@ -88,4 +88,4 @@ gene_id_data_mapping[gene_name]["direction"][reaction.id] = direction # Write JSON :D -json_write("ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json", gene_id_data_mapping) +json_write("./iJO1366star/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json", gene_id_data_mapping) diff --git a/autopacmen/ec_model_2019_06_25_data_scenarios_for_moment_comparison.py b/iJO1366star/ec_model_2019_06_25_data_scenarios_for_moment_comparison.py similarity index 100% rename from autopacmen/ec_model_2019_06_25_data_scenarios_for_moment_comparison.py rename to iJO1366star/ec_model_2019_06_25_data_scenarios_for_moment_comparison.py diff --git a/autopacmen/ec_model_2019_06_25_data_scenarios_for_optimization.py b/iJO1366star/ec_model_2019_06_25_data_scenarios_for_optimization.py similarity index 100% rename from autopacmen/ec_model_2019_06_25_data_scenarios_for_optimization.py rename to iJO1366star/ec_model_2019_06_25_data_scenarios_for_optimization.py diff --git a/autopacmen/ec_model_2019_06_25_data_set_up_model.py b/iJO1366star/ec_model_2019_06_25_data_set_up_model.py similarity index 92% rename from autopacmen/ec_model_2019_06_25_data_set_up_model.py rename to iJO1366star/ec_model_2019_06_25_data_set_up_model.py index e4274a3..59a324b 100644 --- a/autopacmen/ec_model_2019_06_25_data_set_up_model.py +++ b/iJO1366star/ec_model_2019_06_25_data_set_up_model.py @@ -16,7 +16,7 @@ """ec_model_data_set_up_model.py""" import cobra -from .ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions +from ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions def set_up_ec_model(model: cobra.Model, prot_pool: float): diff --git a/autopacmen/ec_model_2019_06_25_data_standard_exchange_scenario.py b/iJO1366star/ec_model_2019_06_25_data_standard_exchange_scenario.py similarity index 100% rename from autopacmen/ec_model_2019_06_25_data_standard_exchange_scenario.py rename to iJO1366star/ec_model_2019_06_25_data_standard_exchange_scenario.py diff --git a/autopacmen/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py b/iJO1366star/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py similarity index 84% rename from autopacmen/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py rename to iJO1366star/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py index c418e9a..91f737d 100644 --- a/autopacmen/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py +++ b/iJO1366star/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py +"""./iJO1366star/ec_model_2019_06_25_figure_comparison_with_other_models_with_monk_et_al_values.py This is the script for the generation of the figure and the calculation of the corresponding statistical data for the comparison of measured growth rates and predicted growth rates of iJO1366*. @@ -24,11 +24,11 @@ import matplotlib.pyplot as plt import numpy as np from scipy.stats import linregress, pearsonr, spearmanr -from .ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source -from .ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source +from ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -with open("ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt", "r") as f: +with open("./iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt", "r") as f: lines = f.readlines() lines = [x.replace("\n", "") for x in lines][1:] c_sources = [] @@ -43,7 +43,7 @@ moment += [float(split_lines[2])] fbawmc += [float(split_lines[3])] -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) prot_bounds = [0.095] diff --git a/autopacmen/ec_model_2019_06_25_figure_fva_variability_data.py b/iJO1366star/ec_model_2019_06_25_figure_fva_variability_data.py similarity index 92% rename from autopacmen/ec_model_2019_06_25_figure_fva_variability_data.py rename to iJO1366star/ec_model_2019_06_25_figure_fva_variability_data.py index df8703d..9e49462 100644 --- a/autopacmen/ec_model_2019_06_25_figure_fva_variability_data.py +++ b/iJO1366star/ec_model_2019_06_25_figure_fva_variability_data.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_test_fva_variability_data.py +"""./iJO1366star/ec_model_2019_06_25_test_fva_variability_data.py This is the script for the generation of the comparative cumulative distributions of flux variabilities of iJO1366 vs. iJO1366* at a given maximal glucose uptake @@ -153,9 +153,9 @@ def _add_worksheet(workbook, model_name, fva_dict): name_original = "iJO1366_shut_down_scenario" name_smoment = "sMOMENT_2019_06_25_sds_mc_fm_50" model_smoment = cobra.io.read_sbml_model( - "ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") + "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") model_original = cobra.io.read_sbml_model( - "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml") + "./iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml") model_smoment.reactions.get_by_id("EX_glc__D_e").lower_bound = -9.53 model_smoment.reactions.get_by_id("ER_pool_TG_").upper_bound = .095 @@ -193,13 +193,13 @@ def _add_worksheet(workbook, model_name, fva_dict): ax.set_xlabel('Variability (mmol/(gDW*h))') ax.set_ylabel('Cumulative distribution') plt.show() -fig.savefig('ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.png') +fig.savefig('./iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.png') # Create XLSX print("Write XLSX \\o/") workbook = xlsxwriter.Workbook( - f"ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.xlsx") + f"./iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_standard_exchange_scenario.xlsx") workbook = _add_worksheet(workbook, name_original, fva_dict_original) workbook = _add_worksheet(workbook, name_smoment, fva_dict_smoment) diff --git a/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py b/iJO1366star/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py similarity index 95% rename from autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py rename to iJO1366star/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py index 14dbb19..50a96f6 100644 --- a/autopacmen/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py +++ b/iJO1366star/ec_model_2019_06_25_figure_secretion_behavior_on_different_maximal_glucose_uptake_rates.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_test_secretion_behavior_on_different_maximal_glucose_uptake_rates.py +"""./iJO1366star/ec_model_2019_06_25_test_secretion_behavior_on_different_maximal_glucose_uptake_rates.py Shows the secretion and general FVA results of a protein-constrained model under different maximal glucose uptake rates, and returns them as comma-separated values which were later imported into a @@ -22,7 +22,7 @@ import cobra import numpy as np -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml def fba_with_glucose_levels(model, glucose_levels, name): @@ -136,7 +136,7 @@ def fba_with_glucose_levels(model, glucose_levels, name): print("Maximal O2" + ";" + ";".join([str(x) for x in values["o2_max"]])) -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) aerobic_space = list(np.linspace(.14, 9.53, 25)) + list(np.linspace(9.54, 13.829, 25)) fba_with_glucose_levels(model, aerobic_space, "Aerobe") diff --git a/autopacmen/ec_model_2019_06_25_fva_comparison.py b/iJO1366star/ec_model_2019_06_25_fva_comparison.py similarity index 67% rename from autopacmen/ec_model_2019_06_25_fva_comparison.py rename to iJO1366star/ec_model_2019_06_25_fva_comparison.py index 4125a20..7b7cd9d 100644 --- a/autopacmen/ec_model_2019_06_25_fva_comparison.py +++ b/iJO1366star/ec_model_2019_06_25_fva_comparison.py @@ -18,11 +18,11 @@ """ -from .submodules.fva_comparison import fva_comparison_with_sbml +from autopacmen.submodules.fva_comparison import fva_comparison_with_sbml -SBML_ORIGINAL: str = "./ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml" -SBML_SMOMENT: str = "ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml" -OUTPUT_FOLDER = "./ec_model_output" +SBML_ORIGINAL: str = "./iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml" +SBML_SMOMENT: str = "./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml" +OUTPUT_FOLDER = "./iJO1366star/ec_model_2019_06_25_output" OBJECTIVE: str = "BIOMASS_Ec_iJO1366_core_53p95M" fva_comparison_with_sbml(SBML_ORIGINAL, SBML_SMOMENT, OBJECTIVE) diff --git a/autopacmen/ec_model_2019_06_25_input/SOURCES.txt b/iJO1366star/ec_model_2019_06_25_input/SOURCES.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/SOURCES.txt rename to iJO1366star/ec_model_2019_06_25_input/SOURCES.txt diff --git a/autopacmen/ec_model_2019_06_25_input/bigg_models_metabolites.txt b/iJO1366star/ec_model_2019_06_25_input/bigg_models_metabolites.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/bigg_models_metabolites.txt rename to iJO1366star/ec_model_2019_06_25_input/bigg_models_metabolites.txt diff --git a/autopacmen/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt b/iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt rename to iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt diff --git a/autopacmen/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt b/iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt rename to iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012_with_monk_values.txt diff --git a/autopacmen/ec_model_2019_06_25_input/iJO1366.xml b/iJO1366star/ec_model_2019_06_25_input/iJO1366.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/iJO1366.xml rename to iJO1366star/ec_model_2019_06_25_input/iJO1366.xml diff --git a/autopacmen/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml b/iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml rename to iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml diff --git a/autopacmen/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml b/iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml rename to iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_STANDARD_EXCHANGE_SCENARIO.xml diff --git a/autopacmen/ec_model_2019_06_25_input_keff_paper/SOURCE.txt b/iJO1366star/ec_model_2019_06_25_input_keff_paper/SOURCE.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_input_keff_paper/SOURCE.txt rename to iJO1366star/ec_model_2019_06_25_input_keff_paper/SOURCE.txt diff --git a/autopacmen/ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx b/iJO1366star/ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx rename to iJO1366star/ec_model_2019_06_25_input_keff_paper/c3mb70119k-1.xlsx diff --git a/autopacmen/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json b/iJO1366star/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json rename to iJO1366star/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json diff --git a/autopacmen/ec_model_2019_06_25_leucine_test.py b/iJO1366star/ec_model_2019_06_25_leucine_test.py similarity index 93% rename from autopacmen/ec_model_2019_06_25_leucine_test.py rename to iJO1366star/ec_model_2019_06_25_leucine_test.py index 4d94b67..a7f103e 100644 --- a/autopacmen/ec_model_2019_06_25_leucine_test.py +++ b/iJO1366star/ec_model_2019_06_25_leucine_test.py @@ -7,7 +7,7 @@ min_growth = .1 model = cobra.io.read_sbml_model( - "ec_model_2019_06_25_output_optimization/iJO1366star.xml") + "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml") biomass_reaction = model.reactions.get_by_id(biomass_reaction_id) substrate_reaction = model.reactions.get_by_id(substrate_reaction_id) diff --git a/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py b/iJO1366star/ec_model_2019_06_25_modeling_create_gecko_model.py similarity index 66% rename from autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py rename to iJO1366star/ec_model_2019_06_25_modeling_create_gecko_model.py index bd38061..941d168 100644 --- a/autopacmen/ec_model_2019_06_25_modeling_create_gecko_model.py +++ b/iJO1366star/ec_model_2019_06_25_modeling_create_gecko_model.py @@ -13,18 +13,19 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_modeling_create_gecko_model.py +"""./iJO1366star/ec_model_2019_06_25_modeling_create_gecko_model.py This script generates the GECKOed model version of iJO1366. The GECKO method was followed as described in Sánchez et al., 2017. """ -from .submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml +from autopacmen.submodules.create_gecko_model_reaction_wise import create_gecko_model_reaction_wise_with_sbml -INPUT_SBML: str = "./ec_model_2019_06_25_input/iJO1366.xml" +INPUT_SBML: str = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" OUTPUT_SBML: str = "iJO1366_2019_06_25_GECKO.xml" -PROJECT_FOLDER: str = "./ec_model_2019_06_25_output/" +PROJECT_FOLDER: str = "./iJO1366star/ec_model_2019_06_25_output/" PROJECT_NAME: str = "psb_orth" EXCLUDED_REACTIONS = ["CO2tex", "O2tex", "H2tex"] -create_gecko_model_reaction_wise_with_sbml(INPUT_SBML, OUTPUT_SBML, PROJECT_FOLDER, PROJECT_NAME, EXCLUDED_REACTIONS) +create_gecko_model_reaction_wise_with_sbml( + INPUT_SBML, OUTPUT_SBML, PROJECT_FOLDER, PROJECT_NAME, EXCLUDED_REACTIONS) diff --git a/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py b/iJO1366star/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py similarity index 91% rename from autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py rename to iJO1366star/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py index e2be5cb..f160335 100644 --- a/autopacmen/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py +++ b/iJO1366star/ec_model_2019_06_25_optimization_apply_fmincon_optimized_kcats.py @@ -1,7 +1,7 @@ -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml import cobra -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml", .095) +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml", .095) reactions_to_change = [ # Acetate @@ -238,5 +238,5 @@ i += 1 -# cobra.io.write_sbml_model(model, "ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") -cobra.io.write_sbml_model(model, "ec_model_2019_06_25_output_optimization/iJO1366star.xml") +# cobra.io.write_sbml_model(model, "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml") +cobra.io.write_sbml_model(model, "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml") diff --git a/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py b/iJO1366star/ec_model_2019_06_25_optimization_apply_manual_changes.py similarity index 63% rename from autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py rename to iJO1366star/ec_model_2019_06_25_optimization_apply_manual_changes.py index da90e79..5c8979c 100644 --- a/autopacmen/ec_model_2019_06_25_optimization_apply_manual_changes.py +++ b/iJO1366star/ec_model_2019_06_25_optimization_apply_manual_changes.py @@ -13,10 +13,10 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_optimization_apply_manual_changes.py""" +"""./iJO1366star/ec_model_2019_06_25_optimization_apply_manual_changes.py""" import cobra -from .submodules.apply_manual_changes import apply_manual_changes +from autopacmen.submodules.apply_manual_changes import apply_manual_changes KCAT_CHANGE_FACTORS = { @@ -26,6 +26,6 @@ "LDH_D": ("reverse", 1/10), } -model: cobra.Model = cobra.io.read_sbml_model("ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml") +model: cobra.Model = cobra.io.read_sbml_model("./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml") model = apply_manual_changes(model, KCAT_CHANGE_FACTORS) -cobra.io.write_sbml_model(model, "ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml") +cobra.io.write_sbml_model(model, "./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml") diff --git a/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py b/iJO1366star/ec_model_2019_06_25_original_generate_comparable_model.py similarity index 50% rename from autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py rename to iJO1366star/ec_model_2019_06_25_original_generate_comparable_model.py index ea52b0a..78f21db 100644 --- a/autopacmen/ec_model_2019_06_25_original_generate_comparable_model.py +++ b/iJO1366star/ec_model_2019_06_25_original_generate_comparable_model.py @@ -16,11 +16,11 @@ """ec_model_original_generate_comparable_model.py""" import cobra -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -from .submodules.helper_create_model import get_irreversible_model +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from autopacmen.submodules.helper_create_model import get_irreversible_model -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_input/iJO1366.xml", .225) +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml", .225) model = get_irreversible_model(model, "_TG_") -cobra.io.write_sbml_model(model, "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml") -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml", .225) -cobra.io.write_sbml_model(model, "ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_SHUT_DOWN_SCENARIO.xml") +cobra.io.write_sbml_model(model, "./iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml") +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions.xml", .225) +cobra.io.write_sbml_model(model, "./iJO1366star/ec_model_2019_06_25_input/iJO1366_saved_by_cobrapy_and_separated_reversible_reactions_SHUT_DOWN_SCENARIO.xml") diff --git a/autopacmen/ec_model_2019_06_25_output/bigg_id_name_mapping.json b/iJO1366star/ec_model_2019_06_25_output/bigg_id_name_mapping.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/bigg_id_name_mapping.json rename to iJO1366star/ec_model_2019_06_25_output/bigg_id_name_mapping.json diff --git a/autopacmen/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml b/iJO1366star/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml rename to iJO1366star/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml diff --git a/autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml b/iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml rename to iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml diff --git a/autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml b/iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml rename to iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml diff --git a/autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml b/iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml rename to iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml diff --git a/autopacmen/ec_model_2019_06_25_output/kcat_database_brenda.json b/iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/kcat_database_brenda.json rename to iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda.json diff --git a/autopacmen/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json b/iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json rename to iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json diff --git a/autopacmen/ec_model_2019_06_25_output/kcat_database_combined.json b/iJO1366star/ec_model_2019_06_25_output/kcat_database_combined.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/kcat_database_combined.json rename to iJO1366star/ec_model_2019_06_25_output/kcat_database_combined.json diff --git a/autopacmen/ec_model_2019_06_25_output/kcat_database_sabio_rk.json b/iJO1366star/ec_model_2019_06_25_output/kcat_database_sabio_rk.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/kcat_database_sabio_rk.json rename to iJO1366star/ec_model_2019_06_25_output/kcat_database_sabio_rk.json diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_compartments.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_compartments.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_compartments.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_compartments.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_enzyme_stoichiometries.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_enzyme_stoichiometries.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_enzyme_stoichiometries.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_enzyme_stoichiometries.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_metabolite_concentrations.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_metabolite_concentrations.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_metabolite_concentrations.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_metabolite_concentrations.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_metabolites.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_metabolites.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_metabolites.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_metabolites.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_protein_data.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_protein_data.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_protein_data.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_protein_data.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_protein_id_mass_mapping.json b/iJO1366star/ec_model_2019_06_25_output/psb_orth_protein_id_mass_mapping.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_protein_id_mass_mapping.json rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_protein_id_mass_mapping.json diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_reactions.xlsx b/iJO1366star/ec_model_2019_06_25_output/psb_orth_reactions.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_reactions.xlsx rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_reactions.xlsx diff --git a/autopacmen/ec_model_2019_06_25_output/psb_orth_reactions_kcat_mapping_combined.json b/iJO1366star/ec_model_2019_06_25_output/psb_orth_reactions_kcat_mapping_combined.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output/psb_orth_reactions_kcat_mapping_combined.json rename to iJO1366star/ec_model_2019_06_25_output/psb_orth_reactions_kcat_mapping_combined.json diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Acetate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Acetate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Acetate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Acetate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fructose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fructose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fructose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fructose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fumarate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fumarate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fumarate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Fumarate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Galactose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Galactose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Galactose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Galactose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Gluconate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Gluconate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Gluconate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Gluconate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucosamine.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucosamine.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucosamine.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucosamine.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose 6-Phosphate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose 6-Phosphate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose 6-Phosphate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose 6-Phosphate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Aerobic_Growth.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Aerobic_Growth.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Aerobic_Growth.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Aerobic_Growth.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Anaerobic_Growth.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Anaerobic_Growth.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Anaerobic_Growth.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glucose_Anaerobic_Growth.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glycerol.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glycerol.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glycerol.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Glycerol.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Guanosine.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Guanosine.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Guanosine.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Guanosine.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Alanine.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Alanine.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Alanine.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Alanine.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Lactate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Lactate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Lactate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Lactate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Malate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Malate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Malate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_L-Malate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Maltose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Maltose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Maltose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Maltose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannitol.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannitol.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannitol.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannitol.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Mannose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_N-acetylglucosamine.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_N-acetylglucosamine.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_N-acetylglucosamine.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_N-acetylglucosamine.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Oxoglutarate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Oxoglutarate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Oxoglutarate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Oxoglutarate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Pyruvate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Pyruvate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Pyruvate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Pyruvate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Ribose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Ribose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Ribose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Ribose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Sorbitol.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Sorbitol.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Sorbitol.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Sorbitol.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Succinate.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Succinate.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Succinate.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Succinate.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Trehalose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Trehalose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Trehalose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Trehalose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Xylose.txt b/iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Xylose.txt similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Xylose.txt rename to iJO1366star/ec_model_2019_06_25_output_optimization/flux_control_data_2019_06_25_manual_changes/psb_orth_reaction_flux_control_Xylose.txt diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml b/iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml rename to iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES.xml diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml b/iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml rename to iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json b/iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json rename to iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_unique_differential_reactions_of_scenarios.json diff --git a/autopacmen/ec_model_2019_06_25_output_optimization/iJO1366star.xml b/iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml similarity index 100% rename from autopacmen/ec_model_2019_06_25_output_optimization/iJO1366star.xml rename to iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366star.xml diff --git a/iJO1366star/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py b/iJO1366star/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py new file mode 100644 index 0000000..47b7aef --- /dev/null +++ b/iJO1366star/ec_model_2019_06_25_sMOMENT_iJO_CREATION.py @@ -0,0 +1,104 @@ +#!/usr/bin/env python3 +# +# Copyright 2019-2020 PSB +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""This script consists of all steps needed for the genration of iJO1366-sMOMENT. + +The single steps are explained in the supplementary file 1 of sMOMENT's publication (Bekiaris & Klamt, 2020). +""" + +# IMPORTS +# External modules +import cobra +# Internal modules +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from autopacmen.submodules.create_combined_kcat_database import create_combined_kcat_database +from autopacmen.submodules.create_smoment_model_reaction_wise import create_smoment_model_reaction_wise_with_sbml +from autopacmen.submodules.get_initial_spreadsheets import get_initial_spreadsheets_with_sbml +from autopacmen.submodules.get_protein_mass_mapping import get_protein_mass_mapping_with_sbml +from autopacmen.submodules.get_reactions_kcat_mapping import get_reactions_kcat_mapping +from autopacmen.submodules.parse_bigg_metabolites_file import parse_bigg_metabolites_file +from autopacmen.submodules.parse_brenda_textfile import parse_brenda_textfile +from autopacmen.submodules.parse_brenda_json_for_model import parse_brenda_json_for_model +from autopacmen.submodules.parse_sabio_rk_for_model import parse_sabio_rk_for_model_with_sbml + + +# Step 1 +bigg_metabolites_file_path = "./iJO1366star/ec_model_2019_06_25_input/bigg_models_metabolites.txt" +json_output_folder = "./iJO1366star/ec_model_2019_06_25_output/" +parse_bigg_metabolites_file(bigg_metabolites_file_path, json_output_folder) + +# Step 2 +brenda_textfile_path = "./iJO1366star/ec_model_2019_06_25_input/brenda_download.txt" +bigg_metabolites_json_folder = "./iJO1366star/ec_model_2019_06_25_output/" +json_output_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda.json" +parse_brenda_textfile(brenda_textfile_path, + bigg_metabolites_json_folder, json_output_path) + +# Step 3 +sbml_path = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +brenda_json_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda.json" +output_json_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json" +parse_brenda_json_for_model(sbml_path, brenda_json_path, output_json_path) + +# Step 4 +sbml_path = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +json_output_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_sabio_rk.json" +bigg_id_name_mapping_path: str = "./iJO1366star/ec_model_2019_06_25_output/bigg_id_name_mapping.json" +parse_sabio_rk_for_model_with_sbml( + sbml_path, json_output_path, bigg_id_name_mapping_path) + +# Step 5 +sabio_rk_kcat_database_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_sabio_rk.json" +brenda_kcat_database_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_brenda_for_model.json" +output_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_combined.json" +create_combined_kcat_database( + sabio_rk_kcat_database_path, brenda_kcat_database_path, output_path) + +# Step 6 +sbml_path = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +project_folder = "./iJO1366star/ec_model_2019_06_25_output/" +project_name = "psb_orth" +organism = "Escherichia coli" +kcat_database_path = "./iJO1366star/ec_model_2019_06_25_output/kcat_database_combined.json" +protein_kcat_database_path = "./iJO1366star/ec_model_2019_06_25_input_keff_paper/gene_id_data_mapping.json" +get_reactions_kcat_mapping(sbml_path, project_folder, project_name, + organism, kcat_database_path, protein_kcat_database_path) + +# Step 7 +input_sbml = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +project_folder = "./iJO1366star/ec_model_2019_06_25_output/" +project_name = "psb_orth" +get_initial_spreadsheets_with_sbml(input_sbml, project_folder, project_name) + +# Step 8 +input_sbml = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +project_folder = "./iJO1366star/ec_model_2019_06_25_output/" +project_name = "psb_orth" +get_protein_mass_mapping_with_sbml(input_sbml, project_folder, project_name) + +# Step 9 +input_sbml = "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml" +output_sbml = "iJO1366_sMOMENT_2019_06_25.xml" +project_folder = "./iJO1366star/ec_model_2019_06_25_output/" +project_name = "psb_orth" +excluded_reactions = ["CO2tex", "O2tex", "H2tex"] +create_smoment_model_reaction_wise_with_sbml( + input_sbml, output_sbml, project_folder, project_name, excluded_reactions) + +# Step 10 - Generate model with standard exchanges scenario +model = set_up_ec_model_with_sbml( + "./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml", .25) +cobra.io.write_sbml_model( + model, "./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO.xml") diff --git a/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py b/iJO1366star/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py similarity index 87% rename from autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py rename to iJO1366star/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py index 88704bb..fbcd98d 100644 --- a/autopacmen/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py +++ b/iJO1366star/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py @@ -13,7 +13,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py +"""./iJO1366star/ec_model_2019_06_25_test_comparison_with_other_models_adadi_et_al_values.py """ @@ -22,11 +22,11 @@ import copy import matplotlib.pyplot as plt from scipy.stats import linregress, spearmanr -from .ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source -from .ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from ec_model_2019_06_25_data_scenarios_for_moment_comparison import exchange_reactions_by_c_source +from ec_model_2019_06_25_data_standard_exchange_scenario import ec_model_shut_down_reactions +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml -with open("ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt", "r") as f: +with open("./iJO1366star/ec_model_2019_06_25_input/c_sources_S3_Adadi_2012.txt", "r") as f: lines = f.readlines() lines = [x.replace("\n", "") for x in lines][1:] c_sources = [] @@ -41,7 +41,7 @@ moment += [float(split_lines[2])] fbawmc += [float(split_lines[3])] -model = set_up_ec_model_with_sbml("ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) +model = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output_optimization/iJO1366_sMOMENT_2019_06_25_STANDARD_EXCHANGE_SCENARIO_MANUAL_CHANGES_FMINCON_CHANGE_FACTOR_50.xml", 0.095) prot_bounds = [0.095] with model: @@ -70,7 +70,7 @@ results += [solution.fluxes.BIOMASS_Ec_iJO1366_core_53p95M] thermogecko_prot_pool.append(copy.deepcopy(results)) -original_model = cobra.io.read_sbml_model("ec_model_2019_06_25_input/iJO1366.xml") +original_model = cobra.io.read_sbml_model("./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml") original_model.reactions.EX_glc__D_e.lower_bound = .0 normal_fba = [] for c_source in c_sources: diff --git a/autopacmen/ec_model_2019_06_25_test_fva/Comparison_with_Monk_values_R2_87__spearman_p_value_2-9.png b/iJO1366star/ec_model_2019_06_25_test_fva/Comparison_with_Monk_values_R2_87__spearman_p_value_2-9.png similarity index 100% rename from autopacmen/ec_model_2019_06_25_test_fva/Comparison_with_Monk_values_R2_87__spearman_p_value_2-9.png rename to iJO1366star/ec_model_2019_06_25_test_fva/Comparison_with_Monk_values_R2_87__spearman_p_value_2-9.png diff --git a/autopacmen/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.png b/iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.png similarity index 100% rename from autopacmen/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.png rename to iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.png diff --git a/autopacmen/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.xlsx b/iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.xlsx similarity index 100% rename from autopacmen/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.xlsx rename to iJO1366star/ec_model_2019_06_25_test_fva/fva_comparison_2019_06_25_fitted_mc_fm_50_vs_original_iJO1366_both_with_shut_down_scenario.xlsx diff --git a/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py b/iJO1366star/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py similarity index 86% rename from autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py rename to iJO1366star/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py index e7e7a58..6dd16b0 100644 --- a/autopacmen/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py +++ b/iJO1366star/ec_model_2019_06_25_test_iJO1366star_original_gecko_comparison.py @@ -13,12 +13,12 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -"""ec_model_2019_06_25_test_iJO*_gecko_analogon_original_gecko_comparison.py +"""./iJO1366star/ec_model_2019_06_25_test_iJO*_gecko_analogon_original_gecko_comparison.py Compares iJO1366* with a GECKOed version (Sánchez et al., 2017) of iJO1366. """ -from .ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml +from ec_model_2019_06_25_data_set_up_model import set_up_ec_model_with_sbml def fba_with_glucose_levels(model_gecko, model_smoment, glucose_levels, name): @@ -49,8 +49,8 @@ def fba_with_glucose_levels(model_gecko, model_smoment, glucose_levels, name): print("") -model_gecko = set_up_ec_model_with_sbml("ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml", 0.095) -model_smoment = set_up_ec_model_with_sbml("ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml", 0.095) +model_gecko = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output/iJO1366_2019_06_25_GECKO.xml", 0.095) +model_smoment = set_up_ec_model_with_sbml("./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25_GECKO_ANALOGON.xml", 0.095) print(len(model_gecko.reactions)) print(len(model_smoment.reactions)) diff --git a/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py b/iJO1366star/ec_model_2019_06_25_test_properties_original_and_smoment_model.py similarity index 75% rename from autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py rename to iJO1366star/ec_model_2019_06_25_test_properties_original_and_smoment_model.py index 62a39c6..0dd88fe 100644 --- a/autopacmen/ec_model_2019_06_25_test_properties_original_and_smoment_model.py +++ b/iJO1366star/ec_model_2019_06_25_test_properties_original_and_smoment_model.py @@ -1,9 +1,9 @@ import cobra model_original = cobra.io.read_sbml_model( - "./ec_model_2019_06_25_input/iJO1366.xml") + "./iJO1366star/ec_model_2019_06_25_input/iJO1366.xml") model_smoment = cobra.io.read_sbml_model( - "./ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml") + "./iJO1366star/ec_model_2019_06_25_output/iJO1366_sMOMENT_2019_06_25.xml") print("Original model:") print(f"Number of reactions is {len(model_original.reactions)}") diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/README_MCS_analysis_scripts.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/README_MCS_analysis_scripts.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/README_MCS_analysis_scripts.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/README_MCS_analysis_scripts.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/compare_mcs.py b/iJO1366star/iJO1366star_MCS_analysis_scripts/compare_mcs.py similarity index 68% rename from autopacmen/iJOstar_MCS_analysis_scripts/compare_mcs.py rename to iJO1366star/iJO1366star_MCS_analysis_scripts/compare_mcs.py index 9bc84fe..42f6714 100644 --- a/autopacmen/iJOstar_MCS_analysis_scripts/compare_mcs.py +++ b/iJO1366star/iJO1366star_MCS_analysis_scripts/compare_mcs.py @@ -40,17 +40,20 @@ def _get_superset_mapping(mcs_one, mcs_two): max_mcs = 6 secretion_products = ["ethanol", "leucine", "succinate", "valine"] -workbook = xlsxwriter.Workbook("mcs_analysis.xlsx") +workbook = xlsxwriter.Workbook( + "./autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis.xlsx") for secretion_product in secretion_products: worksheet = workbook.add_worksheet(secretion_product) - basepath = f"./results_{secretion_product}/" + basepath = f"./autopacmen/iJOstar_MCS_analysis_scripts/results_{secretion_product}/" with open(basepath+"original_6.txt", "r") as f: original_mcs = f.readlines()[1:] - original_mcs_lines = [x.replace("R_", "").replace("\n", "") for x in original_mcs] + original_mcs_lines = [x.replace("R_", "").replace( + "\n", "") for x in original_mcs] with open(basepath+"geckoed_6.txt", "r") as f: geckoed_mcs = f.readlines()[1:] - geckoed_mcs_lines = [x.replace("R_", "").replace("_TG_", "TG").replace("\n", "") for x in geckoed_mcs] + geckoed_mcs_lines = [x.replace("R_", "").replace( + "_TG_", "TG").replace("\n", "") for x in geckoed_mcs] original_mcs = _get_mcs_sets(original_mcs_lines) geckoed_mcs = _get_mcs_sets(geckoed_mcs_lines) @@ -58,12 +61,15 @@ def _get_superset_mapping(mcs_one, mcs_two): mcs_only_in_geckoed = [x for x in geckoed_mcs if x not in original_mcs] original_subset_mapping = _get_subset_mapping(original_mcs, geckoed_mcs) - original_superset_mapping = _get_superset_mapping(original_mcs, geckoed_mcs) + original_superset_mapping = _get_superset_mapping( + original_mcs, geckoed_mcs) geckoed_subset_mapping = _get_subset_mapping(geckoed_mcs, original_mcs) geckoed_superset_mapping = _get_superset_mapping(geckoed_mcs, original_mcs) - original_num_identicals = len(set([tuple(x) for x in original_mcs]).intersection([tuple(x) for x in geckoed_mcs])) - geckoed_num_identicals = len(set([tuple(x) for x in geckoed_mcs]).intersection([tuple(x) for x in original_mcs])) + original_num_identicals = len(set([tuple(x) for x in original_mcs]).intersection( + [tuple(x) for x in geckoed_mcs])) + geckoed_num_identicals = len(set([tuple(x) for x in geckoed_mcs]).intersection( + [tuple(x) for x in original_mcs])) current_start = 0 # Original MCS @@ -77,8 +83,10 @@ def _get_superset_mapping(mcs_one, mcs_two): for reaction in mcs: worksheet.write(i, j, reaction) j += 1 - worksheet.write(i, current_start + max_mcs, original_subset_mapping[tuple(mcs)]) - worksheet.write(i, current_start + max_mcs + 1, original_superset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs, + original_subset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs + 1, + original_superset_mapping[tuple(mcs)]) if original_subset_mapping[tuple(mcs)]: num_subsets += 1 @@ -91,8 +99,10 @@ def _get_superset_mapping(mcs_one, mcs_two): worksheet.write(0, current_start + max_mcs + 2, "Length") worksheet.write(0, current_start + max_mcs + 3, "#") for current_length in range(1, max_mcs+1): - worksheet.write(current_length, current_start + max_mcs + 2, current_length) - worksheet.write(current_length, current_start + max_mcs + 3, len([x for x in original_mcs if len(x) == (current_length)])) + worksheet.write(current_length, current_start + + max_mcs + 2, current_length) + worksheet.write(current_length, current_start + max_mcs + 3, + len([x for x in original_mcs if len(x) == (current_length)])) worksheet.write(max_mcs+1, current_start + max_mcs + 2, "SUM") worksheet.write(max_mcs+1, current_start + max_mcs + 3, len(original_mcs)) worksheet.write(max_mcs+2, current_start + max_mcs + 2, "Num subsets") @@ -100,9 +110,11 @@ def _get_superset_mapping(mcs_one, mcs_two): worksheet.write(max_mcs+3, current_start + max_mcs + 2, "Num supersets") worksheet.write(max_mcs+3, current_start + max_mcs + 3, num_supersets) worksheet.write(max_mcs+4, current_start + max_mcs + 2, "Num identicals") - worksheet.write(max_mcs+4, current_start + max_mcs + 3, original_num_identicals) + worksheet.write(max_mcs+4, current_start + + max_mcs + 3, original_num_identicals) worksheet.write(max_mcs+5, current_start + max_mcs + 2, "Neither of any") - worksheet.write(max_mcs+5, current_start + max_mcs + 3, len(original_mcs)-num_subsets-num_supersets-original_num_identicals) + worksheet.write(max_mcs+5, current_start + max_mcs + 3, + len(original_mcs)-num_subsets-num_supersets-original_num_identicals) current_start = 1 * max_mcs + 5 # Geckoed MCS @@ -116,8 +128,10 @@ def _get_superset_mapping(mcs_one, mcs_two): for reaction in mcs: worksheet.write(i, current_start+j, reaction) j += 1 - worksheet.write(i, current_start + max_mcs, geckoed_subset_mapping[tuple(mcs)]) - worksheet.write(i, current_start + max_mcs + 1, geckoed_superset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs, + geckoed_subset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs + 1, + geckoed_superset_mapping[tuple(mcs)]) if geckoed_subset_mapping[tuple(mcs)]: num_subsets += 1 @@ -130,8 +144,10 @@ def _get_superset_mapping(mcs_one, mcs_two): worksheet.write(0, current_start + max_mcs + 2, "Length") worksheet.write(0, current_start + max_mcs + 3, "#") for current_length in range(1, max_mcs+1): - worksheet.write(current_length, current_start + max_mcs + 2, current_length) - worksheet.write(current_length, current_start + max_mcs + 3, len([x for x in geckoed_mcs if len(x) == (current_length)])) + worksheet.write(current_length, current_start + + max_mcs + 2, current_length) + worksheet.write(current_length, current_start + max_mcs + 3, + len([x for x in geckoed_mcs if len(x) == (current_length)])) worksheet.write(max_mcs+1, current_start + max_mcs + 2, "SUM") worksheet.write(max_mcs+1, current_start + max_mcs + 3, len(geckoed_mcs)) @@ -140,9 +156,11 @@ def _get_superset_mapping(mcs_one, mcs_two): worksheet.write(max_mcs+3, current_start + max_mcs + 2, "Num superset") worksheet.write(max_mcs+3, current_start + max_mcs + 3, num_supersets) worksheet.write(max_mcs+4, current_start + max_mcs + 2, "Num identicals") - worksheet.write(max_mcs+4, current_start + max_mcs + 3, geckoed_num_identicals) + worksheet.write(max_mcs+4, current_start + + max_mcs + 3, geckoed_num_identicals) worksheet.write(max_mcs+5, current_start + max_mcs + 2, "Neither of any") - worksheet.write(max_mcs+5, current_start + max_mcs + 3, len(geckoed_mcs)-num_subsets-num_supersets-geckoed_num_identicals) + worksheet.write(max_mcs+5, current_start + max_mcs + 3, + len(geckoed_mcs)-num_subsets-num_supersets-geckoed_num_identicals) current_start = 2 * max_mcs + 10 # MCS only in original model @@ -153,8 +171,10 @@ def _get_superset_mapping(mcs_one, mcs_two): for reaction in mcs: worksheet.write(i, current_start+j, reaction) j += 1 - worksheet.write(i, current_start + max_mcs, original_subset_mapping[tuple(mcs)]) - worksheet.write(i, current_start + max_mcs + 1, original_superset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs, + original_subset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs + 1, + original_superset_mapping[tuple(mcs)]) i += 1 worksheet.write(0, current_start + max_mcs, "Is subset?") @@ -162,10 +182,13 @@ def _get_superset_mapping(mcs_one, mcs_two): worksheet.write(0, current_start + max_mcs + 2, "Length") worksheet.write(0, current_start + max_mcs + 3, "#") for current_length in range(1, max_mcs+1): - worksheet.write(current_length, current_start + max_mcs + 2, current_length) - worksheet.write(current_length, current_start + max_mcs + 3, len([x for x in mcs_only_in_original if len(x) == (current_length)])) + worksheet.write(current_length, current_start + + max_mcs + 2, current_length) + worksheet.write(current_length, current_start + max_mcs + 3, + len([x for x in mcs_only_in_original if len(x) == (current_length)])) worksheet.write(max_mcs+1, current_start + max_mcs + 2, "SUM") - worksheet.write(max_mcs+1, current_start + max_mcs + 3, len(mcs_only_in_original)) + worksheet.write(max_mcs+1, current_start + max_mcs + + 3, len(mcs_only_in_original)) current_start = 3 * max_mcs + 15 # MCS only in geckoed model @@ -176,18 +199,23 @@ def _get_superset_mapping(mcs_one, mcs_two): for reaction in mcs: worksheet.write(i, current_start+j, reaction) j += 1 - worksheet.write(i, current_start + max_mcs, geckoed_subset_mapping[tuple(mcs)]) - worksheet.write(i, current_start + max_mcs + 1, geckoed_superset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs, + geckoed_subset_mapping[tuple(mcs)]) + worksheet.write(i, current_start + max_mcs + 1, + geckoed_superset_mapping[tuple(mcs)]) i += 1 worksheet.write(0, current_start + max_mcs, "Is subset?") worksheet.write(0, current_start + max_mcs + 1, "Is superset?") worksheet.write(0, current_start + max_mcs + 2, "Length") worksheet.write(0, current_start + max_mcs + 3, "#") for current_length in range(1, max_mcs+1): - worksheet.write(current_length, current_start + max_mcs + 2, current_length) - worksheet.write(current_length, current_start + max_mcs + 3, len([x for x in mcs_only_in_geckoed if len(x) == (current_length)])) + worksheet.write(current_length, current_start + + max_mcs + 2, current_length) + worksheet.write(current_length, current_start + max_mcs + 3, + len([x for x in mcs_only_in_geckoed if len(x) == (current_length)])) worksheet.write(max_mcs+1, current_start + max_mcs + 2, "SUM") - worksheet.write(max_mcs+1, current_start + max_mcs + 3, len(mcs_only_in_geckoed)) + worksheet.write(max_mcs+1, current_start + + max_mcs + 3, len(mcs_only_in_geckoed)) workbook.close() diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis.xlsx b/iJO1366star/iJO1366star_MCS_analysis_scripts/mcs_analysis.xlsx similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis.xlsx rename to iJO1366star/iJO1366star_MCS_analysis_scripts/mcs_analysis.xlsx diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m b/iJO1366star/iJO1366star_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m similarity index 86% rename from autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m rename to iJO1366star/iJO1366star_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m index 9468cc7..304cb53 100644 --- a/autopacmen/iJOstar_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m +++ b/iJO1366star/iJO1366star_MCS_analysis_scripts/mcs_analysis_run_2019_06_25.m @@ -26,7 +26,7 @@ productRateReactionName = 'R_EX_etoh_e'; % original model :-) - outputFilename = './0FminconModelMCSAnalysis/results_ethanol/original_6.txt'; + outputFilename = './iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/original_6.txt'; p_mcs_analysis(originalModel,... outputFilename,... growthRateReactionName,... @@ -37,7 +37,7 @@ maxMCSsize) % geckoed model :-) - outputFilename = './0FminconModelMCSAnalysis/results_ethanol/geckoed_6.txt'; + outputFilename = './iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/geckoed_6.txt'; p_mcs_analysis(smomentModel,... outputFilename,... growthRateReactionName,... @@ -53,7 +53,7 @@ productRateReactionName = 'R_EX_leu__L_e'; % original model :-) - outputFilename = './0FminconModelMCSAnalysis/results_leucine/original_6.txt'; + outputFilename = './iJO1366star/iJOstar_MCS_analysis_scripts/original_6.txt'; p_mcs_analysis(originalModel,... outputFilename,... growthRateReactionName,... @@ -64,7 +64,7 @@ maxMCSsize) % geckoed model :-) - outputFilename = './0FminconModelMCSAnalysis/results_leucine/geckoed_6.txt'; + outputFilename = './iJO1366star/iJOstar_MCS_analysis_scripts/geckoed_6.txt'; p_mcs_analysis(smomentModel,... outputFilename,... growthRateReactionName,... @@ -80,7 +80,7 @@ productRateReactionName = 'R_EX_val__L_e'; % original model :-) - outputFilename = './0FminconModelMCSAnalysis/results_valine/original_6.txt'; + outputFilename = './iJO1366star/iJOstar_MCS_analysis_scripts/original_6.txt'; p_mcs_analysis(originalModel,... outputFilename,... growthRateReactionName,... @@ -91,7 +91,7 @@ maxMCSsize) % geckoed model :-) - outputFilename = './0FminconModelMCSAnalysis/results_valine/geckoed_6.txt'; + outputFilename = './iJO1366star/iJOstar_MCS_analysis_scripts/geckoed_6.txt'; p_mcs_analysis(smomentModel,... outputFilename,... growthRateReactionName,... @@ -107,7 +107,7 @@ productRateReactionName = 'R_EX_succ_e'; % original model :-) - outputFilename = './0FminconModelMCSAnalysis/results_succinate/original_6.txt'; + outputFilename = 'iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/original_6.txt'; p_mcs_analysis(originalModel,... outputFilename,... growthRateReactionName,... @@ -118,7 +118,7 @@ maxMCSsize) % geckoed model :-) - outputFilename = './0FminconModelMCSAnalysis/results_succinate/geckoed_6.txt'; + outputFilename = 'iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/geckoed_6.txt'; p_mcs_analysis(smomentModel,... outputFilename,... growthRateReactionName,... diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/p_mcs_analysis.m b/iJO1366star/iJO1366star_MCS_analysis_scripts/p_mcs_analysis.m similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/p_mcs_analysis.m rename to iJO1366star/iJO1366star_MCS_analysis_scripts/p_mcs_analysis.m diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/geckoed.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/geckoed.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/geckoed.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/geckoed.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/geckoed_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/geckoed_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/geckoed_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/geckoed_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/original.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/original.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/original.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/original.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/original_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/original_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_ethanol/original_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_ethanol/original_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/geckoed.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/geckoed.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/geckoed.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/geckoed.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/geckoed_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/geckoed_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/geckoed_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/geckoed_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/original.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/original.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/original.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/original.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/original_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/original_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_leucine/original_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_leucine/original_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/geckoed.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/geckoed.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/geckoed.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/geckoed.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/geckoed_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/geckoed_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/geckoed_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/geckoed_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/original.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/original.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/original.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/original.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/original_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/original_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_succinate/original_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_succinate/original_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_valine/geckoed.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/geckoed.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_valine/geckoed.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/geckoed.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_valine/geckoed_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/geckoed_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_valine/geckoed_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/geckoed_6.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_valine/original.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/original.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_valine/original.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/original.txt diff --git a/autopacmen/iJOstar_MCS_analysis_scripts/results_valine/original_6.txt b/iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/original_6.txt similarity index 100% rename from autopacmen/iJOstar_MCS_analysis_scripts/results_valine/original_6.txt rename to iJO1366star/iJO1366star_MCS_analysis_scripts/results_valine/original_6.txt diff --git a/setup.py b/setup.py index 8820da3..631f376 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="autopacmen-Paulocracy", - version="0.5.7.5", + version="0.6.0", author="Paulocracy", author_email="bekiaris@mpi-magdeburg.mpg.de", description="The AutoPACMEN package", From 69a158003d5bab3f597ec5da727515d250f35a43 Mon Sep 17 00:00:00 2001 From: Paulocracy <36934614+Paulocracy@users.noreply.github.com> Date: Tue, 10 Nov 2020 16:13:59 +0100 Subject: [PATCH 5/5] Move cache --- .../ncbi_taxonomy/Acanthamoeba castellanii_taxonomy | Bin .../Acanthamoeba polyphaga mimivirus_taxonomy | Bin .../Acetoanaerobium sticklandii_taxonomy | Bin .../ncbi_taxonomy/Acetobacter aceti_taxonomy | Bin .../ncbi_taxonomy/Acetobacter xylinus_taxonomy_NA | Bin .../ncbi_taxonomy/Acetobacter_taxonomy | Bin .../ncbi_taxonomy/Acholeplasma laidlawii_taxonomy | Bin .../ncbi_taxonomy/Acidianus sp._taxonomy | Bin .../Acidilobus saccharovorans_taxonomy | Bin .../Acidithiobacillus ferrooxidans_taxonomy | Bin .../ncbi_taxonomy/Acinetobacter baumannii_taxonomy | Bin .../ncbi_taxonomy/Acinetobacter baylyi_taxonomy | Bin ...ter calcoaceticus (subsp. anitratus)_taxonomy_NA | Bin ...tobacter calcoaceticus subsp. anitratus_taxonomy | Bin .../Acinetobacter calcoaceticus_taxonomy | Bin .../ncbi_taxonomy/Actinidia chinensis_taxonomy | Bin .../ncbi_taxonomy/Actinomadura sp. R39_taxonomy | Bin .../ncbi_taxonomy/Actinomadura sp._taxonomy | Bin .../Actinoplanes missouriensis_taxonomy | Bin ...tinosynnema pretiosum subsp. auranticum_taxonomy | Bin .../Advenella mimigardefordensis_taxonomy | Bin .../ncbi_taxonomy/Aedes aegypti_taxonomy | Bin .../ncbi_taxonomy/Aeribacillus pallidus_taxonomy | Bin .../ncbi_taxonomy/Aeromonas hydrophila_taxonomy | Bin .../ncbi_taxonomy/Aeropyrum pernix K1_taxonomy | Bin .../ncbi_taxonomy/Aeropyrum pernix_taxonomy | Bin .../ncbi_taxonomy/Agaricus bisporus_taxonomy | Bin .../Agrobacterium tumefaciens_taxonomy | Bin .../ncbi_taxonomy/Alcaligenes faecalis_taxonomy | Bin .../ncbi_taxonomy/Alcanivorax borkumensis_taxonomy | Bin ...us acidocaldarius subsp. acidocaldarius_taxonomy | Bin .../Alicyclobacillus acidocaldarius_taxonomy | Bin .../ncbi_taxonomy/Alkaliphilus oremlandii_taxonomy | Bin .../Alligator mississippiensis_taxonomy | Bin .../ncbi_taxonomy/Allochromatium vinosum_taxonomy | Bin .../ncbi_taxonomy/Alnus glutinosa_taxonomy | Bin .../ncbi_taxonomy/Alternanthera ficoidea_taxonomy | Bin .../ncbi_taxonomy/Alternanthera pungens_taxonomy | Bin .../ncbi_taxonomy/Alternanthera sessilis_taxonomy | Bin .../ncbi_taxonomy/Alteromonas macleodii_taxonomy | Bin .../ncbi_taxonomy/Alteromonas sp._taxonomy | Bin .../ncbi_taxonomy/Amycolatopsis orientalis_taxonomy | Bin .../ncbi_taxonomy/Amycolatopsis sp._taxonomy | Bin .../ncbi_taxonomy/Anabaena azollae_taxonomy_NA | Bin .../ncbi_taxonomy/Anabaena sp._taxonomy | Bin .../Anaerobiospirillum succiniciproducens_taxonomy | Bin .../ncbi_taxonomy/Anaerotignum propionicum_taxonomy | Bin .../ncbi_taxonomy/Anas platyrhynchos_taxonomy | Bin .../ncbi_taxonomy/Anguilla anguilla_taxonomy | Bin .../ncbi_taxonomy/Anopheles gambiae_taxonomy | Bin .../Anoxybacillus flavithermus_taxonomy | Bin .../ncbi_taxonomy/Anoxybacillus gonensis_taxonomy | Bin .../ncbi_taxonomy/Anser sp._taxonomy | Bin .../ncbi_taxonomy/Antarctic bacterium TAB5_taxonomy | Bin .../ncbi_taxonomy/Apis cerana indica_taxonomy | Bin .../ncbi_taxonomy/Apis cerana japonica_taxonomy | Bin .../ncbi_taxonomy/Apis mellifera_taxonomy | Bin .../ncbi_taxonomy/Aplysia californica_taxonomy | Bin .../ncbi_taxonomy/Aplysia fasciata_taxonomy | Bin .../ncbi_taxonomy/Aquaspirillum arcticum_taxonomy | Bin .../ncbi_taxonomy/Aquifex aeolicus_taxonomy | Bin .../ncbi_taxonomy/Aquifex pyrophilus_taxonomy | Bin .../ncbi_taxonomy/Arabidopsis thaliana_taxonomy | Bin .../ncbi_taxonomy/Archaeoglobus fulgidus_taxonomy | Bin .../ncbi_taxonomy/Aromatoleum aromaticum_taxonomy | Bin .../ncbi_taxonomy/Artemisia spiciformis_taxonomy | Bin ...emisia tridentata subsp. spiciformis_taxonomy_NA | Bin .../ncbi_taxonomy/Arthrobacter globiformis_taxonomy | Bin .../Arthrobacter nicotinovorans_taxonomy_NA | Bin .../Arthrobacter psychrolactophilus_taxonomy | Bin .../ncbi_taxonomy/Arthrobacter sp._taxonomy | Bin .../ncbi_taxonomy/Ascaris suum_taxonomy | Bin .../ncbi_taxonomy/Aspergillus aculeatus_taxonomy | Bin .../ncbi_taxonomy/Aspergillus carbonarius_taxonomy | Bin .../ncbi_taxonomy/Aspergillus clavatus_taxonomy | Bin .../ncbi_taxonomy/Aspergillus flavus_taxonomy | Bin .../ncbi_taxonomy/Aspergillus fumigatus_taxonomy | Bin .../ncbi_taxonomy/Aspergillus nidulans_taxonomy | Bin .../ncbi_taxonomy/Aspergillus niger_taxonomy | Bin .../ncbi_taxonomy/Aspergillus niveus_taxonomy | Bin .../ncbi_taxonomy/Aspergillus oryzae_taxonomy | Bin .../ncbi_taxonomy/Aspergillus sojae_taxonomy | Bin .../ncbi_taxonomy/Astrosclera willeyana_taxonomy | Bin ...lifornica multiple nucleopolyhedrovirus_taxonomy | Bin .../ncbi_taxonomy/Avena sativa_taxonomy | Bin .../ncbi_taxonomy/Avicennia marina_taxonomy | Bin .../ncbi_taxonomy/Azoarcus evansii_taxonomy | Bin .../ncbi_taxonomy/Azospirillum brasilense_taxonomy | Bin .../ncbi_taxonomy/Azotobacter chroococcum_taxonomy | Bin .../ncbi_taxonomy/Azotobacter vinelandii_taxonomy | Bin .../ncbi_taxonomy/Babesia bovis_taxonomy | Bin .../ncbi_taxonomy/Babesia gibsoni_taxonomy | Bin .../Bacillus amyloliquefaciens_taxonomy | Bin .../ncbi_taxonomy/Bacillus anthracis_taxonomy | Bin .../ncbi_taxonomy/Bacillus caldotenax_taxonomy_NA | Bin .../ncbi_taxonomy/Bacillus cereus_taxonomy | Bin .../ncbi_taxonomy/Bacillus circulans_taxonomy | Bin .../ncbi_taxonomy/Bacillus coagulans_taxonomy | Bin .../ncbi_taxonomy/Bacillus firmus_taxonomy | Bin .../ncbi_taxonomy/Bacillus halodurans_taxonomy | Bin .../ncbi_taxonomy/Bacillus licheniformis_taxonomy | Bin .../ncbi_taxonomy/Bacillus methanolicus_taxonomy | Bin .../ncbi_taxonomy/Bacillus pumilus_taxonomy | Bin .../Bacillus sp. (in: Bacteria)_taxonomy | Bin .../ncbi_taxonomy/Bacillus sp. PS3_taxonomy | Bin .../ncbi_taxonomy/Bacillus sp. YM55-1_taxonomy | Bin .../ncbi_taxonomy/Bacillus sp._taxonomy_NA | Bin .../ncbi_taxonomy/Bacillus subtilis_taxonomy | Bin .../ncbi_taxonomy/Bacillus thuringiensis_taxonomy | Bin .../ncbi_taxonomy/Bacillus virus SPbeta_taxonomy | Bin .../ncbi_taxonomy/Bacopa monnieri_taxonomy | Bin .../Bacteria Latreille et al. 1825_taxonomy | Bin .../ncbi_taxonomy/Bacteria_taxonomy | Bin .../ncbi_taxonomy/Bacteriophage T4_taxonomy_NA | Bin .../ncbi_taxonomy/Bacteriophage phi-13_taxonomy_NA | Bin .../ncbi_taxonomy/Bacteriophage phi-6_taxonomy_NA | Bin .../ncbi_taxonomy/Bacteriophage phi-8_taxonomy_NA | Bin .../ncbi_taxonomy/Bacteroides fragilis_taxonomy | Bin .../ncbi_taxonomy/Bacteroides ovatus_taxonomy | Bin .../Bacteroides thetaiotaomicron_taxonomy | Bin .../ncbi_taxonomy/Bambusa oldhamii_taxonomy | Bin .../Bdellovibrio bacteriovorus_taxonomy | Bin .../Bifidobacterium adolescentis_taxonomy | Bin .../Bifidobacterium longum subsp. infantis_taxonomy | Bin .../ncbi_taxonomy/Bjerkandera adusta_taxonomy | Bin .../ncbi_taxonomy/Bjerkandera fumosa_taxonomy | Bin .../ncbi_taxonomy/Bjerkandera sp._taxonomy | Bin .../Blastobotrys adeninivorans_taxonomy | Bin .../ncbi_taxonomy/Blastochloris viridis_taxonomy | Bin .../ncbi_taxonomy/Bombyx mori_taxonomy | Bin .../ncbi_taxonomy/Bordetella pertussis_taxonomy | Bin .../ncbi_taxonomy/Borrelia burgdorferi_taxonomy_NA | Bin .../ncbi_taxonomy/Borreliella burgdorferi_taxonomy | Bin .../ncbi_taxonomy/Bos taurus_taxonomy | Bin .../ncbi_taxonomy/Bothrops jararaca_taxonomy | Bin .../ncbi_taxonomy/Botryococcus braunii_taxonomy | Bin .../Bradyrhizobium diazoefficiens_taxonomy | Bin .../ncbi_taxonomy/Bradyrhizobium japonicum_taxonomy | Bin .../ncbi_taxonomy/Branchiostoma floridae_taxonomy | Bin .../Branchiostoma lanceolatum_taxonomy | Bin .../ncbi_taxonomy/Brassica capitata_taxonomy_NA | Bin .../ncbi_taxonomy/Brassica oleracea_taxonomy | Bin .../ncbi_taxonomy/Brassica rapa_taxonomy | Bin .../ncbi_taxonomy/Brucella abortus_taxonomy | Bin .../ncbi_taxonomy/Brucella melitensis_taxonomy | Bin .../ncbi_taxonomy/Brucella suis_taxonomy | Bin .../ncbi_taxonomy/Brugia malayi_taxonomy | Bin .../ncbi_taxonomy/Bubalus bubalis_taxonomy | Bin .../ncbi_taxonomy/Buckleyzyma aurantiaca_taxonomy | Bin .../Burkholderia cenocepacia J2315_taxonomy | Bin .../ncbi_taxonomy/Burkholderia cenocepacia_taxonomy | Bin .../ncbi_taxonomy/Burkholderia cepacia_taxonomy | Bin .../ncbi_taxonomy/Burkholderia glumae_taxonomy | Bin .../ncbi_taxonomy/Burkholderia mallei_taxonomy | Bin .../Burkholderia pseudomallei_taxonomy | Bin .../ncbi_taxonomy/Burkholderia sp._taxonomy | Bin .../Burkholderia thailandensis_taxonomy | Bin .../Burkholderia xenovorans LB400_taxonomy_NA | Bin .../Burkholderia xenovorans_taxonomy_NA | Bin .../ncbi_taxonomy/Caenorhabditis elegans_taxonomy | Bin ...r subterraneus subsp. tengcongensis MB4_taxonomy | Bin ...acter subterraneus subsp. tengcongensis_taxonomy | Bin .../Caldicellulosiruptor saccharolyticus_taxonomy | Bin .../ncbi_taxonomy/Camelina sativa_taxonomy | Bin .../ncbi_taxonomy/Camelus dromedarius_taxonomy | Bin .../ncbi_taxonomy/Campylobacter jejuni_taxonomy | Bin .../ncbi_taxonomy/Canavalia ensiformis_taxonomy | Bin .../ncbi_taxonomy/Candida albicans_taxonomy | Bin .../ncbi_taxonomy/Candida glabrata_taxonomy_NA | Bin .../ncbi_taxonomy/Candida intermedia_taxonomy_NA | Bin .../ncbi_taxonomy/Candida mycoderma_taxonomy_NA | Bin .../ncbi_taxonomy/Candida tenuis_taxonomy_NA | Bin .../ncbi_taxonomy/Candida tropicalis_taxonomy | Bin .../ncbi_taxonomy/Canid alphaherpesvirus 1_taxonomy | Bin .../ncbi_taxonomy/Canis lupus familiaris_taxonomy | Bin .../ncbi_taxonomy/Capitata_taxonomy | Bin .../ncbi_taxonomy/Capra capra_taxonomy_NA | Bin .../_cache => _cache}/ncbi_taxonomy/Capra_taxonomy | Bin .../ncbi_taxonomy/Capsicum frutescens_taxonomy | Bin .../ncbi_taxonomy/Carassius auratus_taxonomy | Bin .../Carboxydothermus hydrogenoformans_taxonomy | Bin .../ncbi_taxonomy/Caulobacter vibrioides_taxonomy | Bin .../ncbi_taxonomy/Cavia porcellus_taxonomy | Bin .../ncbi_taxonomy/Cellulomonas sp._taxonomy | Bin .../ncbi_taxonomy/Ceratitis capitata_taxonomy | Bin .../ncbi_taxonomy/Chionodraco hamatus_taxonomy | Bin .../ncbi_taxonomy/Chlamydia pneumoniae_taxonomy | Bin .../ncbi_taxonomy/Chlamydia trachomatis_taxonomy | Bin .../Chlamydomonas reinhardtii_taxonomy | Bin .../ncbi_taxonomy/Chlamydomonas sp._taxonomy_NA | Bin .../Chlamydophila pneumoniae_taxonomy_NA | Bin .../ncbi_taxonomy/Chlorobaculum tepidum_taxonomy | Bin .../ncbi_taxonomy/Chloroflexus aurantiacus_taxonomy | Bin .../Chromobacterium violaceum_taxonomy | Bin .../ncbi_taxonomy/Citrobacter freundii_taxonomy | Bin .../ncbi_taxonomy/Citrobacter sp. 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U-96_taxonomy | Bin .../ncbi_taxonomy/Corynebacterium sp._taxonomy | Bin .../Coturnix coturnix japonica_taxonomy_NA | Bin .../ncbi_taxonomy/Coturnix coturnix_taxonomy | Bin .../ncbi_taxonomy/Coturnix japonica_taxonomy | Bin .../ncbi_taxonomy/Cricetinae_taxonomy | Bin .../ncbi_taxonomy/Cricetulus griseus_taxonomy | Bin .../ncbi_taxonomy/Cricetulus sp._taxonomy | Bin .../ncbi_taxonomy/Crithidia fasciculata_taxonomy | Bin .../ncbi_taxonomy/Crotalus adamanteus_taxonomy | Bin .../ncbi_taxonomy/Cryptococcus flavus_taxonomy_NA | Bin .../ncbi_taxonomy/Cryptococcus neoformans_taxonomy | Bin .../ncbi_taxonomy/Cryptosporidium parvum_taxonomy | Bin .../ncbi_taxonomy/Cucumis sativus_taxonomy | Bin .../ncbi_taxonomy/Cupriavidus necator_taxonomy | Bin .../ncbi_taxonomy/Cyanidium caldarium_taxonomy | Bin .../ncbi_taxonomy/Cyanophora paradoxa_taxonomy | Bin .../ncbi_taxonomy/Cyberlindnera jadinii_taxonomy | Bin .../ncbi_taxonomy/Cyprinus carpio_taxonomy | Bin .../ncbi_taxonomy/Cytophaga hutchinsonii_taxonomy | Bin .../ncbi_taxonomy/Danio rerio_taxonomy | Bin .../ncbi_taxonomy/Dasyatis pastinaca_taxonomy | Bin .../ncbi_taxonomy/Daucus carota_taxonomy | Bin .../ncbi_taxonomy/Debaryomyces hansenii_taxonomy | Bin .../ncbi_taxonomy/Deinagkistrodon acutus_taxonomy | Bin .../ncbi_taxonomy/Deinococcus radiodurans_taxonomy | Bin .../ncbi_taxonomy/Delftia acidovorans_taxonomy | Bin .../ncbi_taxonomy/Delftia sp._taxonomy | Bin .../Desulfotalea psychrophila_taxonomy | Bin .../ncbi_taxonomy/Desulfovibrio gigas_taxonomy | Bin .../Desulfurococcus amylolyticus_taxonomy | Bin .../ncbi_taxonomy/Dickeya chrysanthemi_taxonomy | Bin .../ncbi_taxonomy/Dictyoglomus turgidum_taxonomy | Bin .../ncbi_taxonomy/Dictyostelium discoideum_taxonomy | Bin .../ncbi_taxonomy/Dictyostelium sp._taxonomy | Bin .../ncbi_taxonomy/Dirofilaria immitis_taxonomy | Bin .../Drosophila lebanonensis_taxonomy_NA | Bin .../ncbi_taxonomy/Drosophila melanogaster_taxonomy | Bin .../ncbi_taxonomy/Dunaliella salina_taxonomy | Bin .../ncbi_taxonomy/Dysdercus peruvianus_taxonomy | Bin .../ncbi_taxonomy/Edwardsiella ictaluri_taxonomy | Bin .../ncbi_taxonomy/Eimeria tenella_taxonomy | Bin .../ncbi_taxonomy/Eisenia fetida_taxonomy | Bin .../ncbi_taxonomy/Entamoeba histolytica_taxonomy | Bin .../ncbi_taxonomy/Enterobacter cloacae_taxonomy | Bin .../ncbi_taxonomy/Enterobacter sp._taxonomy | Bin .../ncbi_taxonomy/Enterobacteria phage T2_taxonomy | Bin .../ncbi_taxonomy/Enterococcus faecalis_taxonomy | Bin .../ncbi_taxonomy/Enterococcus faecium_taxonomy | Bin .../ncbi_taxonomy/Enterococcus gallinarum_taxonomy | Bin .../ncbi_taxonomy/Enterococcus sp._taxonomy | Bin .../ncbi_taxonomy/Epstein-Barr virus_taxonomy_NA | Bin .../Equine infectious anemia virus_taxonomy | Bin .../ncbi_taxonomy/Equus caballus_taxonomy | Bin .../ncbi_taxonomy/Eremothecium gossypii_taxonomy | Bin .../ncbi_taxonomy/Erwinia chrysanthemi_taxonomy_NA | Bin .../ncbi_taxonomy/Erwinia rhapontici_taxonomy | Bin .../Erysipelothrix rhusiopathiae_taxonomy | Bin .../ncbi_taxonomy/Erythroxylum coca_taxonomy | Bin .../ncbi_taxonomy/Escherichia coli K-12_taxonomy | Bin .../Escherichia coli P31658 P31658_taxonomy_NA | Bin .../Escherichia coli P76440_taxonomy_NA | Bin .../ncbi_taxonomy/Escherichia coli_taxonomy | Bin .../ncbi_taxonomy/Escherichia virus T4_taxonomy | Bin .../ncbi_taxonomy/Euglena gracilis_taxonomy | Bin .../ncbi_taxonomy/Euphorbia characias_taxonomy | Bin .../ncbi_taxonomy/Exiguobacterium sp._taxonomy | Bin .../ncbi_taxonomy/Felid alphaherpesvirus 1_taxonomy | Bin .../ncbi_taxonomy/Felis catus_taxonomy | Bin .../ncbi_taxonomy/Ferroplasma acidiphilum_taxonomy | Bin ...er succinogenes subsp. succinogenes S85_taxonomy | Bin .../ncbi_taxonomy/Flaveria bidentis_taxonomy | Bin .../ncbi_taxonomy/Flaveria pringlei_taxonomy | Bin .../ncbi_taxonomy/Flaveria trinervia_taxonomy | Bin .../Flavobacterium frigidimaris_taxonomy | Bin .../ncbi_taxonomy/Flavobacterium sp._taxonomy | Bin .../ncbi_taxonomy/Fomitopsis 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forsetii_taxonomy | Bin .../ncbi_taxonomy/Haemonchus contortus_taxonomy | Bin .../ncbi_taxonomy/Haemophilus influenzae_taxonomy | Bin .../ncbi_taxonomy/Hafnia alvei_taxonomy | Bin .../ncbi_taxonomy/Haloarcula marismortui_taxonomy | Bin .../ncbi_taxonomy/Halobacterium sp._taxonomy | Bin .../ncbi_taxonomy/Haloferax volcanii_taxonomy | Bin .../Halothiobacillus neapolitanus_taxonomy | Bin .../ncbi_taxonomy/Hansenula henricii_taxonomy_NA | Bin .../ncbi_taxonomy/Helianthus annuus_taxonomy | Bin .../ncbi_taxonomy/Helicobacter pylori_taxonomy | Bin .../ncbi_taxonomy/Herpes simplex virus_taxonomy_NA | Bin .../Hippoglossus hippoglossus_taxonomy | Bin .../ncbi_taxonomy/Hippoglossus stenolepis_taxonomy | Bin .../ncbi_taxonomy/Histoplasma capsulatum_taxonomy | Bin .../ncbi_taxonomy/Homo sapiens_taxonomy | Bin .../Hordeum vulgare subsp. vulgare_taxonomy | Bin .../ncbi_taxonomy/Hordeum vulgare_taxonomy | Bin .../ncbi_taxonomy/Human alphaherpesvirus 1_taxonomy | Bin .../ncbi_taxonomy/Human gammaherpesvirus 4_taxonomy | Bin .../ncbi_taxonomy/Human gammaherpesvirus 8_taxonomy | Bin .../ncbi_taxonomy/Human herpesvirus 1_taxonomy_NA | Bin .../Hungateiclostridium thermocellum_taxonomy | Bin .../ncbi_taxonomy/Huperzia serrata_taxonomy | Bin .../Hydrogenobacter thermophilus_taxonomy | Bin .../Hydrogenobaculum sp. Y04AAS1_taxonomy | Bin .../ncbi_taxonomy/Ignisphaera aggregans_taxonomy | Bin .../ncbi_taxonomy/Ipomoea batatas_taxonomy | Bin .../ncbi_taxonomy/Klebsiella aerogenes_taxonomy | Bin .../ncbi_taxonomy/Klebsiella pneumoniae_taxonomy | Bin .../ncbi_taxonomy/Kluyveromyces lactis_taxonomy | Bin .../ncbi_taxonomy/Kluyveromyces marxianus_taxonomy | Bin .../ncbi_taxonomy/Komagataeibacter xylinus_taxonomy | Bin .../ncbi_taxonomy/Komagataella pastoris_taxonomy | Bin .../ncbi_taxonomy/Lachancea kluyveri_taxonomy | Bin .../Lachnoclostridium phytofermentans_taxonomy | Bin .../Lactobacillus acidophilus_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus brevis_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus casei_taxonomy | Bin ...obacillus delbrueckii subsp. bulgaricus_taxonomy | Bin ...Lactobacillus delbrueckii subsp. lactis_taxonomy | Bin .../Lactobacillus delbrueckii_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus fermentum_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus gasseri_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus helveticus_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus jensenii_taxonomy | Bin .../Lactobacillus leichmannii_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus paracasei_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus pentosus_taxonomy | Bin .../Lactobacillus plantarum WCFS1_taxonomy | Bin ...actobacillus plantarum subsp. plantarum_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus plantarum_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus reuteri_taxonomy | Bin .../Lactobacillus saerimneri 30a_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus sakei_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus sp. 30A_taxonomy | Bin .../ncbi_taxonomy/Lactobacillus sp. 30a_taxonomy_NA | Bin .../Lactococcus lactis subsp. cremoris_taxonomy | Bin .../Lactococcus lactis subsp. lactis_taxonomy | Bin .../ncbi_taxonomy/Lactococcus lactis_taxonomy | Bin .../ncbi_taxonomy/Lampetra japonica_taxonomy_NA | Bin .../ncbi_taxonomy/Lathyrus cicera_taxonomy | Bin .../ncbi_taxonomy/Legionella pneumophila_taxonomy | Bin .../ncbi_taxonomy/Leishmania amazonensis_taxonomy | Bin .../ncbi_taxonomy/Leishmania braziliensis_taxonomy | Bin .../ncbi_taxonomy/Leishmania chagasi_taxonomy | Bin .../ncbi_taxonomy/Leishmania donovani_taxonomy | Bin .../ncbi_taxonomy/Leishmania infantum_taxonomy | Bin .../ncbi_taxonomy/Leishmania major_taxonomy | Bin .../ncbi_taxonomy/Leishmania mexicana_taxonomy | Bin .../ncbi_taxonomy/Lens culinaris_taxonomy | Bin .../Leptospira biflexa serovar Patoc_taxonomy | Bin ...tospira interrogans serovar Copenhageni_taxonomy | Bin .../Lethenteron camtschaticum_taxonomy | Bin .../ncbi_taxonomy/Lethocerus indicus_taxonomy | Bin ...stoc mesenteroides subsp. mesenteroides_taxonomy | Bin .../Leuconostoc mesenteroides_taxonomy | Bin .../ncbi_taxonomy/Limulus polyphemus_taxonomy | Bin .../ncbi_taxonomy/Lipomyces starkeyi_taxonomy | Bin .../ncbi_taxonomy/Listeria monocytogenes_taxonomy | Bin .../ncbi_taxonomy/Listeria seeligeri_taxonomy | Bin .../ncbi_taxonomy/Litopenaeus vannamei_taxonomy_NA | Bin .../ncbi_taxonomy/Lotus japonicus_taxonomy | Bin .../ncbi_taxonomy/Lucilia cuprina_taxonomy | Bin .../ncbi_taxonomy/Lupinus luteus_taxonomy | Bin .../Lysinibacillus sphaericus_taxonomy | Bin .../ncbi_taxonomy/Macaca mulatta_taxonomy | Bin .../ncbi_taxonomy/Macaca radiata_taxonomy | Bin .../ncbi_taxonomy/Macadamia tetraphylla_taxonomy | Bin .../ncbi_taxonomy/Magnaporthe grisea_taxonomy_NA | Bin .../Magnetospirillum magnetotacticum_taxonomy | Bin .../ncbi_taxonomy/Malassezia globosa_taxonomy | Bin .../ncbi_taxonomy/Malus domestica_taxonomy | Bin .../ncbi_taxonomy/Mammalia_taxonomy | Bin .../ncbi_taxonomy/Mammalian orthoreovirus_taxonomy | Bin .../ncbi_taxonomy/Manihot esculenta_taxonomy | Bin .../Marinithermus hydrothermalis_taxonomy | Bin .../ncbi_taxonomy/Medicago truncatula_taxonomy | Bin .../ncbi_taxonomy/Megasphaera elsdenii_taxonomy | Bin .../ncbi_taxonomy/Meiothermus ruber_taxonomy | Bin .../ncbi_taxonomy/Meleagris gallopavo_taxonomy | Bin .../ncbi_taxonomy/Mesocricetus auratus_taxonomy | Bin .../ncbi_taxonomy/Mesorhizobium loti_taxonomy | Bin .../Metacordyceps brittlebankisoides_taxonomy_NA | Bin .../ncbi_taxonomy/Metallosphaera sedula_taxonomy | Bin .../ncbi_taxonomy/Metarhizium anisopliae_taxonomy | Bin .../Metarhizium brittlebankisoides_taxonomy | Bin .../ncbi_taxonomy/Metarhizium flavoviride_taxonomy | Bin ...Methanobacterium thermoautotrophicus_taxonomy_NA | Bin .../Methanocaldococcus jannaschii_taxonomy | Bin .../ncbi_taxonomy/Methanococcus aeolicus_taxonomy | Bin .../Methanococcus maripaludis_taxonomy | Bin .../Methanosarcina acetivorans C2A_taxonomy | Bin .../Methanosarcina acetivorans_taxonomy | Bin .../ncbi_taxonomy/Methanosarcina barkeri_taxonomy | Bin .../ncbi_taxonomy/Methanosarcina mazei_taxonomy | Bin .../Methanosarcina thermophila_taxonomy | Bin .../Methanothermobacter thermautotrophicus_taxonomy | Bin .../ncbi_taxonomy/Methanothermus fervidus_taxonomy | Bin .../ncbi_taxonomy/Methylococcus capsulatus_taxonomy | Bin .../Methylomicrobium alcaliphilum_taxonomy | Bin .../Methylomonas aminofaciens_taxonomy | Bin .../Methylosinus trichosporium_taxonomy | Bin .../ncbi_taxonomy/Microbacterium sp._taxonomy | Bin .../ncbi_taxonomy/Micrococcus luteus_taxonomy | Bin .../ncbi_taxonomy/Microcystis aeruginosa_taxonomy | Bin .../ncbi_taxonomy/Micropterus salmoides_taxonomy | Bin .../ncbi_taxonomy/Mizuhopecten yessoensis_taxonomy | Bin .../ncbi_taxonomy/Moorella thermoacetica_taxonomy | Bin .../ncbi_taxonomy/Moraxella sp._taxonomy | Bin .../ncbi_taxonomy/Moritella abyssi_taxonomy | Bin .../ncbi_taxonomy/Moritella japonica_taxonomy | Bin .../ncbi_taxonomy/Moritella marina_taxonomy | Bin .../ncbi_taxonomy/Moritella profunda_taxonomy | Bin .../ncbi_taxonomy/Moritella sp._taxonomy | Bin .../ncbi_taxonomy/Moritella yayanosii_taxonomy | Bin .../ncbi_taxonomy/Mortierella alliacea_taxonomy | Bin .../ncbi_taxonomy/Mortierella alpina_taxonomy | Bin .../ncbi_taxonomy/Mus musculus_taxonomy | Bin .../ncbi_taxonomy/Mycobacterium avium_taxonomy | Bin .../ncbi_taxonomy/Mycobacterium leprae_taxonomy | Bin .../ncbi_taxonomy/Mycobacterium marinum_taxonomy | Bin .../Mycobacterium smegmatis_taxonomy_NA | Bin .../ncbi_taxonomy/Mycobacterium sp._taxonomy | Bin .../Mycobacterium tuberculosis_taxonomy | Bin .../Mycolicibacterium smegmatis_taxonomy | Bin .../ncbi_taxonomy/Mycoplasma capricolum_taxonomy | Bin .../ncbi_taxonomy/Mycoplasma hyorhinis_taxonomy | Bin .../ncbi_taxonomy/Mycoplasma mobile_taxonomy | Bin .../ncbi_taxonomy/Mycoplasma pneumoniae_taxonomy | Bin .../ncbi_taxonomy/Myxococcus xanthus_taxonomy | Bin .../ncbi_taxonomy/Natrialba magadii_taxonomy | Bin .../ncbi_taxonomy/Natronomonas pharaonis_taxonomy | Bin .../ncbi_taxonomy/Neisseria gonorrhoeae_taxonomy | Bin .../ncbi_taxonomy/Neisseria meningitidis_taxonomy | Bin .../ncbi_taxonomy/Neurospora crassa_taxonomy | Bin .../ncbi_taxonomy/Nicotiana glutinosa_taxonomy | Bin .../ncbi_taxonomy/Nicotiana tabacum_taxonomy | Bin .../ncbi_taxonomy/Nitrosomonas europaea_taxonomy | Bin .../ncbi_taxonomy/Noccaea caerulescens_taxonomy | Bin .../ncbi_taxonomy/Nonomuraea sp._taxonomy | Bin .../ncbi_taxonomy/Nostoc punctiforme_taxonomy | Bin .../ncbi_taxonomy/Nostoc sp._taxonomy | Bin .../Novosphingobium aromaticivorans_taxonomy | Bin .../Novosphingobium capsulatum_taxonomy | Bin .../ncbi_taxonomy/Oceanobacillus iheyensis_taxonomy | Bin .../ncbi_taxonomy/Ochrobactrum anthropi_taxonomy | Bin .../ncbi_taxonomy/Ochromonas danica_taxonomy | Bin .../ncbi_taxonomy/Octopus bimaculatus_taxonomy | Bin .../ncbi_taxonomy/Oenococcus oeni_taxonomy | Bin .../ncbi_taxonomy/Ogataea angusta_taxonomy | Bin .../ncbi_taxonomy/Onchocerca volvulus_taxonomy | Bin .../ncbi_taxonomy/Oncorhynchus keta_taxonomy | Bin .../ncbi_taxonomy/Oncorhynchus kisutch_taxonomy | Bin .../ncbi_taxonomy/Oncorhynchus mykiss_taxonomy | Bin .../ncbi_taxonomy/Opuntia ficus-indica_taxonomy | Bin .../ncbi_taxonomy/Oryctolagus cuniculus_taxonomy | Bin .../Oryza sativa Japonica Group_taxonomy | Bin .../ncbi_taxonomy/Oryza sativa_taxonomy | Bin .../ncbi_taxonomy/Ovis aries_taxonomy | Bin .../ncbi_taxonomy/Oxalobacter formigenes_taxonomy | Bin .../Paenarthrobacter aurescens_taxonomy | Bin .../Paenarthrobacter nicotinovorans_taxonomy | Bin .../Paenarthrobacter ureafaciens_taxonomy | Bin .../ncbi_taxonomy/Paenibacillus sp._taxonomy | Bin .../Paenibacillus thiaminolyticus_taxonomy | Bin .../ncbi_taxonomy/Pagrus major_taxonomy | Bin .../ncbi_taxonomy/Pandalus borealis_taxonomy | Bin .../ncbi_taxonomy/Panicum miliaceum_taxonomy | Bin .../ncbi_taxonomy/Pantoea agglomerans_taxonomy | Bin .../ncbi_taxonomy/Papaver somniferum_taxonomy | Bin .../Paraburkholderia phenoliruptrix_taxonomy | Bin .../Paraburkholderia xenovorans LB400_taxonomy | Bin .../Paraburkholderia xenovorans_taxonomy | Bin .../ncbi_taxonomy/Paracoccus denitrificans_taxonomy | Bin .../Parageobacillus thermoglucosidasius_taxonomy | Bin .../Paramecium bursaria Chlorella virus 1_taxonomy | Bin ...aramecium bursaria chlorella virus 1_taxonomy_NA | Bin .../ncbi_taxonomy/Pareledone sp._taxonomy_NA | Bin .../ncbi_taxonomy/Pasteurella multocida_taxonomy | Bin ...acterium carotovorum subsp. carotovorum_taxonomy | Bin .../Pectobacterium carotovorum_taxonomy | Bin .../ncbi_taxonomy/Pediococcus acidilactici_taxonomy | Bin .../ncbi_taxonomy/Pediococcus pentosaceus_taxonomy | Bin .../Pelotomaculum thermopropionicum_taxonomy | Bin .../ncbi_taxonomy/Penaeus vannamei_taxonomy | Bin .../ncbi_taxonomy/Penicillium canescens_taxonomy | Bin .../ncbi_taxonomy/Penicillium chrysogenum_taxonomy | Bin .../ncbi_taxonomy/Petunia hybrida_taxonomy_NA | Bin .../ncbi_taxonomy/Petunia x hybrida_taxonomy | Bin .../Phanerochaete chrysosporium_taxonomy | Bin .../ncbi_taxonomy/Phaseolus vulgaris_taxonomy | Bin .../ncbi_taxonomy/Pholiota nameko_taxonomy | Bin .../ncbi_taxonomy/Phormidium lapideum_taxonomy | Bin .../Photobacterium leiognathi_taxonomy | Bin .../Photobacterium phosphoreum_taxonomy | Bin .../ncbi_taxonomy/Photobacterium profundum_taxonomy | Bin .../ncbi_taxonomy/Physcomitrella patens_taxonomy | Bin .../ncbi_taxonomy/Picea abies_taxonomy | Bin .../ncbi_taxonomy/Picrophilus torridus_taxonomy | Bin .../ncbi_taxonomy/Pinus pinea_taxonomy | Bin .../ncbi_taxonomy/Pisum sativum_taxonomy | Bin .../Planococcus sp. (in: Bacteria)_taxonomy | Bin .../ncbi_taxonomy/Planococcus sp._taxonomy_NA | Bin .../ncbi_taxonomy/Plasmodium berghei_taxonomy | Bin .../ncbi_taxonomy/Plasmodium cynomolgi_taxonomy | Bin .../ncbi_taxonomy/Plasmodium falciparum_taxonomy | Bin .../ncbi_taxonomy/Plasmodium gallinaceum_taxonomy | Bin .../ncbi_taxonomy/Plasmodium knowlesi_taxonomy | Bin .../ncbi_taxonomy/Plasmodium vivax_taxonomy | Bin .../ncbi_taxonomy/Plasmodium yoelii_taxonomy | Bin .../ncbi_taxonomy/Platyrrhini_taxonomy | Bin .../ncbi_taxonomy/Pleurotus eryngii_taxonomy | Bin .../ncbi_taxonomy/Pleurotus ostreatus_taxonomy | Bin .../ncbi_taxonomy/Pleurotus sapidus_taxonomy | Bin .../ncbi_taxonomy/Pneumocystis carinii_taxonomy | Bin .../ncbi_taxonomy/Pneumocystis jiroveci_taxonomy_NA | Bin .../ncbi_taxonomy/Pneumocystis jirovecii_taxonomy | Bin .../ncbi_taxonomy/Populus deltoides_taxonomy | Bin .../ncbi_taxonomy/Populus tremula_taxonomy | Bin .../ncbi_taxonomy/Populus trichocarpa_taxonomy | Bin .../ncbi_taxonomy/Porphyromonas gingivalis_taxonomy | Bin .../ncbi_taxonomy/Prevotella intermedia_taxonomy | Bin .../ncbi_taxonomy/Prosthecobacter sp._taxonomy_NA | Bin .../ncbi_taxonomy/Proteus mirabilis_taxonomy | Bin .../ncbi_taxonomy/Proteus vulgaris_taxonomy | Bin .../ncbi_taxonomy/Pseudanabaena sp._taxonomy | Bin .../Pseudoalteromonas haloplanktis_taxonomy | Bin .../ncbi_taxonomy/Pseudoalteromonas sp._taxonomy | Bin .../ncbi_taxonomy/Pseudomonas aeruginosa_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas dacunhae_taxonomy_NA | Bin ...monas denitrificans (nomen rejiciendum)_taxonomy | Bin .../Pseudomonas denitrificans_taxonomy_NA | Bin .../ncbi_taxonomy/Pseudomonas fluorescens_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas phage phi8_taxonomy | Bin .../Pseudomonas protegens Pf-5_taxonomy | Bin .../Pseudomonas putida KT2440_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas putida_taxonomy | Bin ...Pseudomonas savastanoi pv. phaseolicola_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas savastanoi_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas sp._taxonomy | Bin .../ncbi_taxonomy/Pseudomonas stutzeri_taxonomy | Bin .../Pseudomonas syringae phaseolicola_taxonomy_NA | Bin .../ncbi_taxonomy/Pseudomonas syringae_taxonomy | Bin .../ncbi_taxonomy/Pseudomonas virus phi6_taxonomy | Bin .../Pseudothermotoga lettingae_taxonomy | Bin .../ncbi_taxonomy/Psychromonas ingrahamii_taxonomy | Bin .../ncbi_taxonomy/Pyricularia grisea_taxonomy | Bin .../ncbi_taxonomy/Pyrobaculum aerophilum_taxonomy | Bin .../ncbi_taxonomy/Pyrobaculum calidifontis_taxonomy | Bin .../Pyrobaculum ferrireducens_taxonomy | Bin .../ncbi_taxonomy/Pyrococcus furiosus_taxonomy | Bin .../Pyrococcus horikoshii OT3_taxonomy | Bin .../ncbi_taxonomy/Pyrococcus horikoshii_taxonomy | Bin .../ncbi_taxonomy/Pyrococcus sp._taxonomy | Bin .../ncbi_taxonomy/Pyrococcus woesei_taxonomy | Bin .../ncbi_taxonomy/Pyrococcus yayanosii_taxonomy | Bin .../ncbi_taxonomy/Pyrococcus_taxonomy | Bin .../ncbi_taxonomy/Ralstonia solanacearum_taxonomy | Bin .../ncbi_taxonomy/Rana catesbeiana_taxonomy | Bin .../ncbi_taxonomy/Rasamsonia emersonii_taxonomy | Bin .../ncbi_taxonomy/Rattus norvegicus_taxonomy | Bin .../ncbi_taxonomy/Reovirus sp._taxonomy | Bin .../ncbi_taxonomy/Rhizobium etli_taxonomy | Bin .../ncbi_taxonomy/Rhizobium leguminosarum_taxonomy | Bin .../ncbi_taxonomy/Rhizomucor miehei_taxonomy | Bin .../ncbi_taxonomy/Rhizosolenia setigera_taxonomy | Bin .../ncbi_taxonomy/Rhodobacter capsulatus_taxonomy | Bin .../ncbi_taxonomy/Rhodobacter sphaeroides_taxonomy | Bin .../ncbi_taxonomy/Rhodococcus erythropolis_taxonomy | Bin .../ncbi_taxonomy/Rhodococcus jostii_taxonomy | Bin .../ncbi_taxonomy/Rhodococcus opacus_taxonomy | Bin .../ncbi_taxonomy/Rhodococcus ruber_taxonomy | Bin .../ncbi_taxonomy/Rhodomicrobium vannielii_taxonomy | Bin .../Rhodopseudomonas palustris_taxonomy | Bin .../Rhodopseudomonas viridis_taxonomy_NA | Bin .../ncbi_taxonomy/Rhodospirillum rubrum_taxonomy | Bin .../ncbi_taxonomy/Rhodothermus marinus_taxonomy | Bin .../Rhodotorula aurantiaca_taxonomy_NA | Bin .../ncbi_taxonomy/Ricinus communis_taxonomy | Bin .../Ruminiclostridium thermocellum_taxonomy_NA | Bin .../ncbi_taxonomy/SARS coronavirus_taxonomy_NA | Bin .../ncbi_taxonomy/Saccharolobus shibatae_taxonomy | Bin .../Saccharolobus solfataricus_taxonomy | Bin .../ncbi_taxonomy/Saccharomyces cerevisiae_taxonomy | Bin .../ncbi_taxonomy/Saccharomyces lactis_taxonomy_NA | Bin .../Saccharomyces pastorianus_taxonomy | Bin .../Saccharopolyspora erythraea_taxonomy | Bin .../Saccharopolyspora rectivirgula_taxonomy | Bin .../ncbi_taxonomy/Saccharum officinarum_taxonomy | Bin .../ncbi_taxonomy/Saimiri sciureus_taxonomy | Bin .../ncbi_taxonomy/Saitozyma flava_taxonomy | Bin ... enterica subsp. enterica serovar Typhi_taxonomy | Bin ...ica subsp. enterica serovar Typhimurium_taxonomy | Bin .../Salmonella enterica typhimurium_taxonomy_NA | Bin .../ncbi_taxonomy/Salmonella enterica_taxonomy | Bin .../ncbi_taxonomy/Salmonella typhi_taxonomy_NA | Bin .../Salmonella typhimurium_taxonomy_NA | Bin .../Scaptodrosophila lebanonensis_taxonomy | Bin .../ncbi_taxonomy/Schistosoma mansoni_taxonomy | Bin .../Schizosaccharomyces pombe_taxonomy | Bin .../Schwanniomyces occidentalis_taxonomy | Bin .../ncbi_taxonomy/Scyliorhinus canicula_taxonomy | Bin .../ncbi_taxonomy/Selenomonas ruminantium_taxonomy | Bin .../ncbi_taxonomy/Semliki Forest virus_taxonomy | Bin .../ncbi_taxonomy/Semliki forest virus_taxonomy_NA | Bin .../ncbi_taxonomy/Serratia marcescens_taxonomy | Bin .../ncbi_taxonomy/Serratia sp._taxonomy | Bin ...espiratory syndrome-related coronavirus_taxonomy | Bin .../ncbi_taxonomy/Shewanella benthica_taxonomy | Bin .../ncbi_taxonomy/Shewanella oneidensis_taxonomy | Bin .../ncbi_taxonomy/Shewanella sp._taxonomy | Bin .../ncbi_taxonomy/Shewanella violacea_taxonomy | Bin .../Shrimp white spot syndrome virus_taxonomy | Bin .../ncbi_taxonomy/Sinorhizobium meliloti_taxonomy | Bin .../ncbi_taxonomy/Slackia exigua_taxonomy | Bin .../ncbi_taxonomy/Solanum chacoense_taxonomy | Bin .../ncbi_taxonomy/Solanum lycopersicum_taxonomy | Bin .../ncbi_taxonomy/Solanum pennellii_taxonomy | Bin .../ncbi_taxonomy/Solanum tuberosum_taxonomy | Bin .../ncbi_taxonomy/Sordaria macrospora_taxonomy | Bin .../ncbi_taxonomy/Sorghum bicolor_taxonomy | Bin .../ncbi_taxonomy/Southampton virus_taxonomy | Bin .../ncbi_taxonomy/Sphaerostilbe repens_taxonomy_NA | Bin .../ncbi_taxonomy/Sphingobium chungbukense_taxonomy | Bin .../ncbi_taxonomy/Sphingomonas elodea_taxonomy | Bin .../Sphingomonas sanxanigenens_taxonomy | Bin .../ncbi_taxonomy/Sphingomonas sp. A1_taxonomy | Bin .../ncbi_taxonomy/Sphingomonas sp._taxonomy | Bin .../ncbi_taxonomy/Spinacia oleracea_taxonomy | Bin .../ncbi_taxonomy/Spodoptera frugiperda_taxonomy | Bin .../Sporolactobacillus inulinus_taxonomy | Bin .../ncbi_taxonomy/Sporomusa ovata_taxonomy | Bin .../ncbi_taxonomy/Sporomusa sphaeroides_taxonomy | Bin .../ncbi_taxonomy/Staphylococcus aureus_taxonomy | Bin .../ncbi_taxonomy/Staphylococcus carnosus_taxonomy | Bin .../Staphylococcus epidermidis RP62A_taxonomy | Bin .../ncbi_taxonomy/Staphylococcus sp._taxonomy | Bin .../ncbi_taxonomy/Staphylococcus virus 13_taxonomy | Bin .../ncbi_taxonomy/Stenella sp._taxonomy_NA | Bin .../Stenotrophomonas maltophilia_taxonomy | Bin .../ncbi_taxonomy/Stereum hirsutum_taxonomy | Bin .../ncbi_taxonomy/Streptococcus entericus_taxonomy | Bin .../ncbi_taxonomy/Streptococcus equi_taxonomy | Bin .../ncbi_taxonomy/Streptococcus gordonii_taxonomy | Bin .../ncbi_taxonomy/Streptococcus mutans_taxonomy | Bin .../ncbi_taxonomy/Streptococcus pneumoniae_taxonomy | Bin .../ncbi_taxonomy/Streptococcus pyogenes_taxonomy | Bin .../ncbi_taxonomy/Streptococcus suis_taxonomy | Bin .../Streptococcus thermophilus_taxonomy | Bin .../Streptomyces albidoflavus_taxonomy | Bin .../ncbi_taxonomy/Streptomyces ambofaciens_taxonomy | Bin .../ncbi_taxonomy/Streptomyces avermitilis_taxonomy | Bin .../ncbi_taxonomy/Streptomyces coelicolor_taxonomy | Bin .../ncbi_taxonomy/Streptomyces collinus_taxonomy | Bin .../ncbi_taxonomy/Streptomyces corchorusii_taxonomy | Bin .../ncbi_taxonomy/Streptomyces davaonensis_taxonomy | Bin .../Streptomyces diastaticus_taxonomy_NA | Bin .../ncbi_taxonomy/Streptomyces globisporus_taxonomy | Bin .../Streptomyces griseochromogenes_taxonomy | Bin .../ncbi_taxonomy/Streptomyces griseus_taxonomy | Bin .../ncbi_taxonomy/Streptomyces lavendulae_taxonomy | Bin .../ncbi_taxonomy/Streptomyces lividans_taxonomy | Bin .../Streptomyces pristinaespiralis_taxonomy | Bin .../ncbi_taxonomy/Streptomyces rubiginosus_taxonomy | Bin .../ncbi_taxonomy/Streptomyces seoulensis_taxonomy | Bin .../ncbi_taxonomy/Streptomyces sp. R61_taxonomy | Bin .../ncbi_taxonomy/Streptomyces sp._taxonomy | Bin .../ncbi_taxonomy/Streptomyces verticillus_taxonomy | Bin .../Streptomyces violaceoruber_taxonomy | Bin .../Streptomyces viridifaciens_taxonomy | Bin .../ncbi_taxonomy/Struthio camelus_taxonomy | Bin .../ncbi_taxonomy/Stylophora pistillata_taxonomy | Bin .../Sulfolobus acidocaldarius_taxonomy | Bin .../ncbi_taxonomy/Sulfolobus shibatae_taxonomy_NA | Bin .../Sulfolobus solfataricus_taxonomy_NA | Bin .../Sulfolobus tokodaii str. 7_taxonomy_NA | Bin .../ncbi_taxonomy/Sulfolobus tokodaii_taxonomy_NA | Bin .../Sulfurihydrogenibium azorense_taxonomy | Bin .../Sulfurisphaera tokodaii str. 7_taxonomy | Bin .../ncbi_taxonomy/Sulfurisphaera tokodaii_taxonomy | Bin .../ncbi_taxonomy/Sus scrofa domesticus_taxonomy | Bin .../ncbi_taxonomy/Sus scrofa_taxonomy | Bin .../Symbiobacterium thermophilum_taxonomy | Bin .../ncbi_taxonomy/Symbiobacterium toebii_taxonomy | Bin .../Synechococcus elongatus PCC 7942_taxonomy | Bin .../ncbi_taxonomy/Synechococcus elongatus_taxonomy | Bin .../ncbi_taxonomy/Synechococcus sp._taxonomy | Bin .../ncbi_taxonomy/Synechocystis sp._taxonomy | Bin .../ncbi_taxonomy/Taenia crassiceps_taxonomy | Bin .../ncbi_taxonomy/Taenia solium_taxonomy | Bin .../ncbi_taxonomy/Talaromyces emersonii_taxonomy_NA | Bin .../ncbi_taxonomy/Talaromyces piceae_taxonomy | Bin .../ncbi_taxonomy/Tenebrio molitor_taxonomy | Bin .../Tetragenococcus halophilus_taxonomy | Bin .../ncbi_taxonomy/Tetrahymena thermophila_taxonomy | Bin .../ncbi_taxonomy/Thalassiosira pseudonana_taxonomy | Bin .../ncbi_taxonomy/Theileria annulata_taxonomy | Bin .../Thermoanaerobacter brockii_taxonomy | Bin .../ncbi_taxonomy/Thermoanaerobacter sp._taxonomy | Bin .../Thermoanaerobacter tengcongensis_taxonomy_NA | Bin .../Thermoanaerobacterium saccharolyticum_taxonomy | Bin ...moanaerobacterium thermosaccharolyticum_taxonomy | Bin ...hermoanaerobacterium thermosulfurigenes_taxonomy | Bin .../ncbi_taxonomy/Thermoascus aurantiacus_taxonomy | Bin .../ncbi_taxonomy/Thermobifida fusca_taxonomy | Bin .../Thermococcus gammatolerans_taxonomy | Bin .../Thermococcus kodakaraensis_taxonomy_NA | Bin .../Thermococcus kodakarensis_taxonomy | Bin .../ncbi_taxonomy/Thermococcus litoralis_taxonomy | Bin .../ncbi_taxonomy/Thermococcus onnurineus_taxonomy | Bin .../ncbi_taxonomy/Thermococcus sp._taxonomy | Bin .../Thermococcus waiotapuensis_taxonomy | Bin .../ncbi_taxonomy/Thermofilum pendens_taxonomy | Bin .../ncbi_taxonomy/Thermomyces lanuginosus_taxonomy | Bin .../ncbi_taxonomy/Thermoplasma acidophilum_taxonomy | Bin .../ncbi_taxonomy/Thermoproteus tenax_taxonomy | Bin .../Thermosynechococcus elongatus_taxonomy | Bin .../ncbi_taxonomy/Thermotoga maritima_taxonomy | Bin .../ncbi_taxonomy/Thermotoga neapolitana_taxonomy | Bin .../ncbi_taxonomy/Thermus aquaticus_taxonomy | Bin .../ncbi_taxonomy/Thermus brockianus_taxonomy | Bin .../ncbi_taxonomy/Thermus caldophilus_taxonomy | Bin .../ncbi_taxonomy/Thermus scotoductus_taxonomy | Bin .../ncbi_taxonomy/Thermus sp. GH5_taxonomy | Bin .../ncbi_taxonomy/Thermus sp._taxonomy | Bin .../Thermus thermophilus HB27_taxonomy | Bin .../ncbi_taxonomy/Thermus thermophilus HB8_taxonomy | Bin .../ncbi_taxonomy/Thermus thermophilus_taxonomy | Bin .../ncbi_taxonomy/Thermus yunnanensis_taxonomy | Bin .../Thiobacillus denitrificans ATCC 25259_taxonomy | Bin .../Thiobacillus ferrooxidans_taxonomy_NA | Bin .../ncbi_taxonomy/Thunnus thynnus_taxonomy | Bin .../ncbi_taxonomy/Tolypocladium inflatum_taxonomy | Bin .../ncbi_taxonomy/Toxoplasma gondii_taxonomy | Bin .../ncbi_taxonomy/Trematomus bernacchii_taxonomy | Bin .../ncbi_taxonomy/Treponema denticola_taxonomy | Bin .../ncbi_taxonomy/Trichoderma reesei_taxonomy | Bin .../ncbi_taxonomy/Trichomonas vaginalis_taxonomy | Bin .../ncbi_taxonomy/Trichormus azollae_taxonomy | Bin .../ncbi_taxonomy/Triticum aestivum_taxonomy | Bin .../ncbi_taxonomy/Tritrichomonas foetus_taxonomy | Bin .../ncbi_taxonomy/Tritrichomonas suis_taxonomy | Bin .../Trypanosoma brucei brucei_taxonomy 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a/autopacmen/_cache/ncbi_taxonomy/Acanthamoeba polyphaga mimivirus_taxonomy b/_cache/ncbi_taxonomy/Acanthamoeba polyphaga mimivirus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acanthamoeba polyphaga mimivirus_taxonomy rename to _cache/ncbi_taxonomy/Acanthamoeba polyphaga mimivirus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acetoanaerobium sticklandii_taxonomy b/_cache/ncbi_taxonomy/Acetoanaerobium sticklandii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acetoanaerobium sticklandii_taxonomy rename to _cache/ncbi_taxonomy/Acetoanaerobium sticklandii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acetobacter aceti_taxonomy b/_cache/ncbi_taxonomy/Acetobacter aceti_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acetobacter aceti_taxonomy rename to _cache/ncbi_taxonomy/Acetobacter aceti_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acetobacter xylinus_taxonomy_NA b/_cache/ncbi_taxonomy/Acetobacter xylinus_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acetobacter xylinus_taxonomy_NA rename to _cache/ncbi_taxonomy/Acetobacter xylinus_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Acetobacter_taxonomy b/_cache/ncbi_taxonomy/Acetobacter_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acetobacter_taxonomy rename to _cache/ncbi_taxonomy/Acetobacter_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acholeplasma laidlawii_taxonomy b/_cache/ncbi_taxonomy/Acholeplasma laidlawii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acholeplasma laidlawii_taxonomy rename to _cache/ncbi_taxonomy/Acholeplasma laidlawii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acidianus sp._taxonomy b/_cache/ncbi_taxonomy/Acidianus sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acidianus sp._taxonomy rename to _cache/ncbi_taxonomy/Acidianus sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acidilobus saccharovorans_taxonomy b/_cache/ncbi_taxonomy/Acidilobus saccharovorans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acidilobus saccharovorans_taxonomy rename to _cache/ncbi_taxonomy/Acidilobus saccharovorans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acidithiobacillus ferrooxidans_taxonomy b/_cache/ncbi_taxonomy/Acidithiobacillus ferrooxidans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acidithiobacillus ferrooxidans_taxonomy rename to _cache/ncbi_taxonomy/Acidithiobacillus ferrooxidans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acinetobacter baumannii_taxonomy b/_cache/ncbi_taxonomy/Acinetobacter baumannii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acinetobacter baumannii_taxonomy rename to _cache/ncbi_taxonomy/Acinetobacter baumannii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acinetobacter baylyi_taxonomy b/_cache/ncbi_taxonomy/Acinetobacter baylyi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acinetobacter baylyi_taxonomy rename to _cache/ncbi_taxonomy/Acinetobacter baylyi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus (subsp. anitratus)_taxonomy_NA b/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus (subsp. anitratus)_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus (subsp. anitratus)_taxonomy_NA rename to _cache/ncbi_taxonomy/Acinetobacter calcoaceticus (subsp. anitratus)_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus subsp. anitratus_taxonomy b/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus subsp. anitratus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus subsp. anitratus_taxonomy rename to _cache/ncbi_taxonomy/Acinetobacter calcoaceticus subsp. anitratus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus_taxonomy b/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Acinetobacter calcoaceticus_taxonomy rename to _cache/ncbi_taxonomy/Acinetobacter calcoaceticus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Actinidia chinensis_taxonomy b/_cache/ncbi_taxonomy/Actinidia chinensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Actinidia chinensis_taxonomy rename to _cache/ncbi_taxonomy/Actinidia chinensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Actinomadura sp. R39_taxonomy b/_cache/ncbi_taxonomy/Actinomadura sp. R39_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Actinomadura sp. R39_taxonomy rename to _cache/ncbi_taxonomy/Actinomadura sp. R39_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Actinomadura sp._taxonomy b/_cache/ncbi_taxonomy/Actinomadura sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Actinomadura sp._taxonomy rename to _cache/ncbi_taxonomy/Actinomadura sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Actinoplanes missouriensis_taxonomy b/_cache/ncbi_taxonomy/Actinoplanes missouriensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Actinoplanes missouriensis_taxonomy rename to _cache/ncbi_taxonomy/Actinoplanes missouriensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Actinosynnema pretiosum subsp. auranticum_taxonomy b/_cache/ncbi_taxonomy/Actinosynnema pretiosum subsp. auranticum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Actinosynnema pretiosum subsp. auranticum_taxonomy rename to _cache/ncbi_taxonomy/Actinosynnema pretiosum subsp. auranticum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Advenella mimigardefordensis_taxonomy b/_cache/ncbi_taxonomy/Advenella mimigardefordensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Advenella mimigardefordensis_taxonomy rename to _cache/ncbi_taxonomy/Advenella mimigardefordensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aedes aegypti_taxonomy b/_cache/ncbi_taxonomy/Aedes aegypti_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aedes aegypti_taxonomy rename to _cache/ncbi_taxonomy/Aedes aegypti_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aeribacillus pallidus_taxonomy b/_cache/ncbi_taxonomy/Aeribacillus pallidus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aeribacillus pallidus_taxonomy rename to _cache/ncbi_taxonomy/Aeribacillus pallidus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aeromonas hydrophila_taxonomy b/_cache/ncbi_taxonomy/Aeromonas hydrophila_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aeromonas hydrophila_taxonomy rename to _cache/ncbi_taxonomy/Aeromonas hydrophila_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aeropyrum pernix K1_taxonomy b/_cache/ncbi_taxonomy/Aeropyrum pernix K1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aeropyrum pernix K1_taxonomy rename to _cache/ncbi_taxonomy/Aeropyrum pernix K1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aeropyrum pernix_taxonomy b/_cache/ncbi_taxonomy/Aeropyrum pernix_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aeropyrum pernix_taxonomy rename to _cache/ncbi_taxonomy/Aeropyrum pernix_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Agaricus bisporus_taxonomy b/_cache/ncbi_taxonomy/Agaricus bisporus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Agaricus bisporus_taxonomy rename to _cache/ncbi_taxonomy/Agaricus bisporus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Agrobacterium tumefaciens_taxonomy b/_cache/ncbi_taxonomy/Agrobacterium tumefaciens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Agrobacterium tumefaciens_taxonomy rename to _cache/ncbi_taxonomy/Agrobacterium tumefaciens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alcaligenes faecalis_taxonomy b/_cache/ncbi_taxonomy/Alcaligenes faecalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alcaligenes faecalis_taxonomy rename to _cache/ncbi_taxonomy/Alcaligenes faecalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alcanivorax borkumensis_taxonomy b/_cache/ncbi_taxonomy/Alcanivorax borkumensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alcanivorax borkumensis_taxonomy rename to _cache/ncbi_taxonomy/Alcanivorax borkumensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius subsp. acidocaldarius_taxonomy b/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius subsp. acidocaldarius_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius subsp. acidocaldarius_taxonomy rename to _cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius subsp. acidocaldarius_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius_taxonomy b/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius_taxonomy rename to _cache/ncbi_taxonomy/Alicyclobacillus acidocaldarius_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alkaliphilus oremlandii_taxonomy b/_cache/ncbi_taxonomy/Alkaliphilus oremlandii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alkaliphilus oremlandii_taxonomy rename to _cache/ncbi_taxonomy/Alkaliphilus oremlandii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alligator mississippiensis_taxonomy b/_cache/ncbi_taxonomy/Alligator mississippiensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alligator mississippiensis_taxonomy rename to _cache/ncbi_taxonomy/Alligator mississippiensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Allochromatium vinosum_taxonomy b/_cache/ncbi_taxonomy/Allochromatium vinosum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Allochromatium vinosum_taxonomy rename to _cache/ncbi_taxonomy/Allochromatium vinosum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alnus glutinosa_taxonomy b/_cache/ncbi_taxonomy/Alnus glutinosa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alnus glutinosa_taxonomy rename to _cache/ncbi_taxonomy/Alnus glutinosa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alternanthera ficoidea_taxonomy b/_cache/ncbi_taxonomy/Alternanthera ficoidea_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alternanthera ficoidea_taxonomy rename to _cache/ncbi_taxonomy/Alternanthera ficoidea_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alternanthera pungens_taxonomy b/_cache/ncbi_taxonomy/Alternanthera pungens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alternanthera pungens_taxonomy rename to _cache/ncbi_taxonomy/Alternanthera pungens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alternanthera sessilis_taxonomy b/_cache/ncbi_taxonomy/Alternanthera sessilis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alternanthera sessilis_taxonomy rename to _cache/ncbi_taxonomy/Alternanthera sessilis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alteromonas macleodii_taxonomy b/_cache/ncbi_taxonomy/Alteromonas macleodii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alteromonas macleodii_taxonomy rename to _cache/ncbi_taxonomy/Alteromonas macleodii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Alteromonas sp._taxonomy b/_cache/ncbi_taxonomy/Alteromonas sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Alteromonas sp._taxonomy rename to _cache/ncbi_taxonomy/Alteromonas sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Amycolatopsis orientalis_taxonomy b/_cache/ncbi_taxonomy/Amycolatopsis orientalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Amycolatopsis orientalis_taxonomy rename to _cache/ncbi_taxonomy/Amycolatopsis orientalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Amycolatopsis sp._taxonomy b/_cache/ncbi_taxonomy/Amycolatopsis sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Amycolatopsis sp._taxonomy rename to _cache/ncbi_taxonomy/Amycolatopsis sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Anabaena azollae_taxonomy_NA b/_cache/ncbi_taxonomy/Anabaena azollae_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anabaena azollae_taxonomy_NA rename to _cache/ncbi_taxonomy/Anabaena azollae_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Anabaena sp._taxonomy b/_cache/ncbi_taxonomy/Anabaena sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anabaena sp._taxonomy rename to _cache/ncbi_taxonomy/Anabaena sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Anaerobiospirillum succiniciproducens_taxonomy b/_cache/ncbi_taxonomy/Anaerobiospirillum succiniciproducens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anaerobiospirillum succiniciproducens_taxonomy rename to _cache/ncbi_taxonomy/Anaerobiospirillum succiniciproducens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Anaerotignum propionicum_taxonomy b/_cache/ncbi_taxonomy/Anaerotignum propionicum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anaerotignum propionicum_taxonomy rename to 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flavithermus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anoxybacillus flavithermus_taxonomy rename to _cache/ncbi_taxonomy/Anoxybacillus flavithermus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Anoxybacillus gonensis_taxonomy b/_cache/ncbi_taxonomy/Anoxybacillus gonensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anoxybacillus gonensis_taxonomy rename to _cache/ncbi_taxonomy/Anoxybacillus gonensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Anser sp._taxonomy b/_cache/ncbi_taxonomy/Anser sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Anser sp._taxonomy rename to _cache/ncbi_taxonomy/Anser sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Antarctic bacterium TAB5_taxonomy b/_cache/ncbi_taxonomy/Antarctic bacterium TAB5_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Antarctic bacterium TAB5_taxonomy rename to _cache/ncbi_taxonomy/Antarctic bacterium TAB5_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Apis cerana indica_taxonomy b/_cache/ncbi_taxonomy/Apis cerana indica_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Apis cerana indica_taxonomy rename to _cache/ncbi_taxonomy/Apis cerana indica_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Apis cerana japonica_taxonomy b/_cache/ncbi_taxonomy/Apis cerana japonica_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Apis cerana japonica_taxonomy rename to _cache/ncbi_taxonomy/Apis cerana japonica_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Apis mellifera_taxonomy b/_cache/ncbi_taxonomy/Apis mellifera_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Apis mellifera_taxonomy rename to _cache/ncbi_taxonomy/Apis mellifera_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aplysia californica_taxonomy b/_cache/ncbi_taxonomy/Aplysia californica_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aplysia californica_taxonomy rename to _cache/ncbi_taxonomy/Aplysia californica_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aplysia fasciata_taxonomy b/_cache/ncbi_taxonomy/Aplysia fasciata_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aplysia fasciata_taxonomy rename to _cache/ncbi_taxonomy/Aplysia fasciata_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aquaspirillum arcticum_taxonomy b/_cache/ncbi_taxonomy/Aquaspirillum arcticum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aquaspirillum arcticum_taxonomy rename to _cache/ncbi_taxonomy/Aquaspirillum arcticum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aquifex aeolicus_taxonomy b/_cache/ncbi_taxonomy/Aquifex aeolicus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aquifex aeolicus_taxonomy rename to _cache/ncbi_taxonomy/Aquifex aeolicus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aquifex pyrophilus_taxonomy b/_cache/ncbi_taxonomy/Aquifex pyrophilus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aquifex pyrophilus_taxonomy rename to _cache/ncbi_taxonomy/Aquifex pyrophilus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Arabidopsis thaliana_taxonomy b/_cache/ncbi_taxonomy/Arabidopsis thaliana_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Arabidopsis thaliana_taxonomy rename to _cache/ncbi_taxonomy/Arabidopsis thaliana_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Archaeoglobus fulgidus_taxonomy b/_cache/ncbi_taxonomy/Archaeoglobus fulgidus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Archaeoglobus fulgidus_taxonomy rename to _cache/ncbi_taxonomy/Archaeoglobus fulgidus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aromatoleum aromaticum_taxonomy b/_cache/ncbi_taxonomy/Aromatoleum aromaticum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aromatoleum aromaticum_taxonomy rename to _cache/ncbi_taxonomy/Aromatoleum aromaticum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Artemisia spiciformis_taxonomy b/_cache/ncbi_taxonomy/Artemisia spiciformis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Artemisia spiciformis_taxonomy rename to _cache/ncbi_taxonomy/Artemisia spiciformis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Artemisia tridentata subsp. spiciformis_taxonomy_NA b/_cache/ncbi_taxonomy/Artemisia tridentata subsp. spiciformis_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Artemisia tridentata subsp. spiciformis_taxonomy_NA rename to _cache/ncbi_taxonomy/Artemisia tridentata subsp. spiciformis_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Arthrobacter globiformis_taxonomy b/_cache/ncbi_taxonomy/Arthrobacter globiformis_taxonomy similarity index 100% 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b/_cache/ncbi_taxonomy/Aspergillus clavatus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aspergillus clavatus_taxonomy rename to _cache/ncbi_taxonomy/Aspergillus clavatus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aspergillus flavus_taxonomy b/_cache/ncbi_taxonomy/Aspergillus flavus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aspergillus flavus_taxonomy rename to _cache/ncbi_taxonomy/Aspergillus flavus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aspergillus fumigatus_taxonomy b/_cache/ncbi_taxonomy/Aspergillus fumigatus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aspergillus fumigatus_taxonomy rename to _cache/ncbi_taxonomy/Aspergillus fumigatus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Aspergillus nidulans_taxonomy b/_cache/ncbi_taxonomy/Aspergillus nidulans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Aspergillus nidulans_taxonomy 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a/autopacmen/_cache/ncbi_taxonomy/Azotobacter chroococcum_taxonomy b/_cache/ncbi_taxonomy/Azotobacter chroococcum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Azotobacter chroococcum_taxonomy rename to _cache/ncbi_taxonomy/Azotobacter chroococcum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Azotobacter vinelandii_taxonomy b/_cache/ncbi_taxonomy/Azotobacter vinelandii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Azotobacter vinelandii_taxonomy rename to _cache/ncbi_taxonomy/Azotobacter vinelandii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Babesia bovis_taxonomy b/_cache/ncbi_taxonomy/Babesia bovis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Babesia bovis_taxonomy rename to _cache/ncbi_taxonomy/Babesia bovis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Babesia gibsoni_taxonomy b/_cache/ncbi_taxonomy/Babesia gibsoni_taxonomy similarity index 100% rename from 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--git a/autopacmen/_cache/ncbi_taxonomy/Bacillus cereus_taxonomy b/_cache/ncbi_taxonomy/Bacillus cereus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus cereus_taxonomy rename to _cache/ncbi_taxonomy/Bacillus cereus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus circulans_taxonomy b/_cache/ncbi_taxonomy/Bacillus circulans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus circulans_taxonomy rename to _cache/ncbi_taxonomy/Bacillus circulans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus coagulans_taxonomy b/_cache/ncbi_taxonomy/Bacillus coagulans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus coagulans_taxonomy rename to _cache/ncbi_taxonomy/Bacillus coagulans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus firmus_taxonomy b/_cache/ncbi_taxonomy/Bacillus firmus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus firmus_taxonomy rename to _cache/ncbi_taxonomy/Bacillus firmus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus halodurans_taxonomy b/_cache/ncbi_taxonomy/Bacillus halodurans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus halodurans_taxonomy rename to _cache/ncbi_taxonomy/Bacillus halodurans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus licheniformis_taxonomy b/_cache/ncbi_taxonomy/Bacillus licheniformis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus licheniformis_taxonomy rename to _cache/ncbi_taxonomy/Bacillus licheniformis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus methanolicus_taxonomy b/_cache/ncbi_taxonomy/Bacillus methanolicus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus methanolicus_taxonomy rename to _cache/ncbi_taxonomy/Bacillus methanolicus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus pumilus_taxonomy b/_cache/ncbi_taxonomy/Bacillus pumilus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus pumilus_taxonomy rename to _cache/ncbi_taxonomy/Bacillus pumilus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus sp. (in: Bacteria)_taxonomy b/_cache/ncbi_taxonomy/Bacillus sp. (in: Bacteria)_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus sp. (in: Bacteria)_taxonomy rename to _cache/ncbi_taxonomy/Bacillus sp. (in: Bacteria)_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus sp. PS3_taxonomy b/_cache/ncbi_taxonomy/Bacillus sp. PS3_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus sp. PS3_taxonomy rename to _cache/ncbi_taxonomy/Bacillus sp. PS3_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus sp. YM55-1_taxonomy b/_cache/ncbi_taxonomy/Bacillus sp. YM55-1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus sp. YM55-1_taxonomy rename to _cache/ncbi_taxonomy/Bacillus sp. YM55-1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus sp._taxonomy_NA b/_cache/ncbi_taxonomy/Bacillus sp._taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus sp._taxonomy_NA rename to _cache/ncbi_taxonomy/Bacillus sp._taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus subtilis_taxonomy b/_cache/ncbi_taxonomy/Bacillus subtilis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus subtilis_taxonomy rename to _cache/ncbi_taxonomy/Bacillus subtilis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus thuringiensis_taxonomy b/_cache/ncbi_taxonomy/Bacillus thuringiensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus thuringiensis_taxonomy rename to _cache/ncbi_taxonomy/Bacillus thuringiensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacillus virus SPbeta_taxonomy b/_cache/ncbi_taxonomy/Bacillus virus SPbeta_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacillus virus SPbeta_taxonomy rename to _cache/ncbi_taxonomy/Bacillus virus SPbeta_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacopa monnieri_taxonomy b/_cache/ncbi_taxonomy/Bacopa monnieri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacopa monnieri_taxonomy rename to _cache/ncbi_taxonomy/Bacopa monnieri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteria Latreille et al. 1825_taxonomy b/_cache/ncbi_taxonomy/Bacteria Latreille et al. 1825_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteria Latreille et al. 1825_taxonomy rename to _cache/ncbi_taxonomy/Bacteria Latreille et al. 1825_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteria_taxonomy b/_cache/ncbi_taxonomy/Bacteria_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteria_taxonomy rename to _cache/ncbi_taxonomy/Bacteria_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteriophage T4_taxonomy_NA b/_cache/ncbi_taxonomy/Bacteriophage T4_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteriophage T4_taxonomy_NA rename to _cache/ncbi_taxonomy/Bacteriophage T4_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-13_taxonomy_NA b/_cache/ncbi_taxonomy/Bacteriophage phi-13_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-13_taxonomy_NA rename to _cache/ncbi_taxonomy/Bacteriophage phi-13_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-6_taxonomy_NA b/_cache/ncbi_taxonomy/Bacteriophage phi-6_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-6_taxonomy_NA rename to _cache/ncbi_taxonomy/Bacteriophage phi-6_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-8_taxonomy_NA b/_cache/ncbi_taxonomy/Bacteriophage phi-8_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteriophage phi-8_taxonomy_NA rename to _cache/ncbi_taxonomy/Bacteriophage phi-8_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteroides fragilis_taxonomy b/_cache/ncbi_taxonomy/Bacteroides fragilis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteroides fragilis_taxonomy rename to _cache/ncbi_taxonomy/Bacteroides fragilis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteroides ovatus_taxonomy b/_cache/ncbi_taxonomy/Bacteroides ovatus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteroides ovatus_taxonomy rename to _cache/ncbi_taxonomy/Bacteroides ovatus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bacteroides thetaiotaomicron_taxonomy b/_cache/ncbi_taxonomy/Bacteroides thetaiotaomicron_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bacteroides thetaiotaomicron_taxonomy rename to _cache/ncbi_taxonomy/Bacteroides thetaiotaomicron_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bambusa oldhamii_taxonomy b/_cache/ncbi_taxonomy/Bambusa oldhamii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bambusa oldhamii_taxonomy rename to _cache/ncbi_taxonomy/Bambusa oldhamii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bdellovibrio bacteriovorus_taxonomy b/_cache/ncbi_taxonomy/Bdellovibrio bacteriovorus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bdellovibrio bacteriovorus_taxonomy rename to _cache/ncbi_taxonomy/Bdellovibrio bacteriovorus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bifidobacterium adolescentis_taxonomy b/_cache/ncbi_taxonomy/Bifidobacterium adolescentis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bifidobacterium adolescentis_taxonomy rename to _cache/ncbi_taxonomy/Bifidobacterium adolescentis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bifidobacterium longum subsp. infantis_taxonomy b/_cache/ncbi_taxonomy/Bifidobacterium longum subsp. infantis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bifidobacterium longum subsp. infantis_taxonomy rename to _cache/ncbi_taxonomy/Bifidobacterium longum subsp. infantis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bjerkandera adusta_taxonomy b/_cache/ncbi_taxonomy/Bjerkandera adusta_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bjerkandera adusta_taxonomy rename to _cache/ncbi_taxonomy/Bjerkandera adusta_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bjerkandera fumosa_taxonomy b/_cache/ncbi_taxonomy/Bjerkandera fumosa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bjerkandera fumosa_taxonomy rename to _cache/ncbi_taxonomy/Bjerkandera fumosa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bjerkandera sp._taxonomy b/_cache/ncbi_taxonomy/Bjerkandera sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bjerkandera sp._taxonomy rename to _cache/ncbi_taxonomy/Bjerkandera sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Blastobotrys adeninivorans_taxonomy b/_cache/ncbi_taxonomy/Blastobotrys adeninivorans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Blastobotrys adeninivorans_taxonomy rename to _cache/ncbi_taxonomy/Blastobotrys adeninivorans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Blastochloris viridis_taxonomy b/_cache/ncbi_taxonomy/Blastochloris viridis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Blastochloris viridis_taxonomy rename to _cache/ncbi_taxonomy/Blastochloris viridis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bombyx mori_taxonomy b/_cache/ncbi_taxonomy/Bombyx mori_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bombyx mori_taxonomy rename to _cache/ncbi_taxonomy/Bombyx mori_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bordetella pertussis_taxonomy b/_cache/ncbi_taxonomy/Bordetella pertussis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bordetella pertussis_taxonomy rename to _cache/ncbi_taxonomy/Bordetella pertussis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Borrelia burgdorferi_taxonomy_NA b/_cache/ncbi_taxonomy/Borrelia burgdorferi_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Borrelia burgdorferi_taxonomy_NA rename to _cache/ncbi_taxonomy/Borrelia burgdorferi_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Borreliella burgdorferi_taxonomy b/_cache/ncbi_taxonomy/Borreliella burgdorferi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Borreliella burgdorferi_taxonomy rename to _cache/ncbi_taxonomy/Borreliella burgdorferi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bos taurus_taxonomy b/_cache/ncbi_taxonomy/Bos taurus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bos taurus_taxonomy rename to _cache/ncbi_taxonomy/Bos taurus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bothrops jararaca_taxonomy b/_cache/ncbi_taxonomy/Bothrops jararaca_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bothrops jararaca_taxonomy rename to _cache/ncbi_taxonomy/Bothrops jararaca_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Botryococcus braunii_taxonomy b/_cache/ncbi_taxonomy/Botryococcus braunii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Botryococcus braunii_taxonomy rename to _cache/ncbi_taxonomy/Botryococcus braunii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bradyrhizobium diazoefficiens_taxonomy b/_cache/ncbi_taxonomy/Bradyrhizobium diazoefficiens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bradyrhizobium diazoefficiens_taxonomy rename to _cache/ncbi_taxonomy/Bradyrhizobium diazoefficiens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bradyrhizobium japonicum_taxonomy b/_cache/ncbi_taxonomy/Bradyrhizobium japonicum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bradyrhizobium japonicum_taxonomy rename to _cache/ncbi_taxonomy/Bradyrhizobium japonicum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Branchiostoma floridae_taxonomy b/_cache/ncbi_taxonomy/Branchiostoma floridae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Branchiostoma floridae_taxonomy rename to _cache/ncbi_taxonomy/Branchiostoma floridae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Branchiostoma lanceolatum_taxonomy b/_cache/ncbi_taxonomy/Branchiostoma lanceolatum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Branchiostoma lanceolatum_taxonomy rename to _cache/ncbi_taxonomy/Branchiostoma lanceolatum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brassica capitata_taxonomy_NA b/_cache/ncbi_taxonomy/Brassica capitata_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brassica capitata_taxonomy_NA rename to _cache/ncbi_taxonomy/Brassica capitata_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Brassica oleracea_taxonomy b/_cache/ncbi_taxonomy/Brassica oleracea_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brassica oleracea_taxonomy rename to _cache/ncbi_taxonomy/Brassica oleracea_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brassica rapa_taxonomy b/_cache/ncbi_taxonomy/Brassica rapa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brassica rapa_taxonomy rename to _cache/ncbi_taxonomy/Brassica rapa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brucella abortus_taxonomy b/_cache/ncbi_taxonomy/Brucella abortus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brucella abortus_taxonomy rename to _cache/ncbi_taxonomy/Brucella abortus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brucella melitensis_taxonomy b/_cache/ncbi_taxonomy/Brucella melitensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brucella melitensis_taxonomy rename to _cache/ncbi_taxonomy/Brucella melitensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brucella suis_taxonomy b/_cache/ncbi_taxonomy/Brucella suis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brucella suis_taxonomy rename to _cache/ncbi_taxonomy/Brucella suis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Brugia malayi_taxonomy b/_cache/ncbi_taxonomy/Brugia malayi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Brugia malayi_taxonomy rename to _cache/ncbi_taxonomy/Brugia malayi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Bubalus bubalis_taxonomy b/_cache/ncbi_taxonomy/Bubalus bubalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Bubalus bubalis_taxonomy rename to _cache/ncbi_taxonomy/Bubalus bubalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Buckleyzyma aurantiaca_taxonomy b/_cache/ncbi_taxonomy/Buckleyzyma aurantiaca_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Buckleyzyma aurantiaca_taxonomy rename to _cache/ncbi_taxonomy/Buckleyzyma aurantiaca_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia cenocepacia J2315_taxonomy b/_cache/ncbi_taxonomy/Burkholderia cenocepacia J2315_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia cenocepacia J2315_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia cenocepacia J2315_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia cenocepacia_taxonomy b/_cache/ncbi_taxonomy/Burkholderia cenocepacia_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia cenocepacia_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia cenocepacia_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia cepacia_taxonomy b/_cache/ncbi_taxonomy/Burkholderia cepacia_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia cepacia_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia cepacia_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia glumae_taxonomy b/_cache/ncbi_taxonomy/Burkholderia glumae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia glumae_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia glumae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia mallei_taxonomy b/_cache/ncbi_taxonomy/Burkholderia mallei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia mallei_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia mallei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia pseudomallei_taxonomy b/_cache/ncbi_taxonomy/Burkholderia pseudomallei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia pseudomallei_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia pseudomallei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia sp._taxonomy b/_cache/ncbi_taxonomy/Burkholderia sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia sp._taxonomy rename to _cache/ncbi_taxonomy/Burkholderia sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia thailandensis_taxonomy b/_cache/ncbi_taxonomy/Burkholderia thailandensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia thailandensis_taxonomy rename to _cache/ncbi_taxonomy/Burkholderia thailandensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia xenovorans LB400_taxonomy_NA b/_cache/ncbi_taxonomy/Burkholderia xenovorans LB400_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia xenovorans LB400_taxonomy_NA rename to _cache/ncbi_taxonomy/Burkholderia xenovorans LB400_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Burkholderia xenovorans_taxonomy_NA b/_cache/ncbi_taxonomy/Burkholderia xenovorans_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Burkholderia xenovorans_taxonomy_NA rename to _cache/ncbi_taxonomy/Burkholderia xenovorans_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Caenorhabditis elegans_taxonomy b/_cache/ncbi_taxonomy/Caenorhabditis elegans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Caenorhabditis elegans_taxonomy rename to _cache/ncbi_taxonomy/Caenorhabditis elegans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis MB4_taxonomy b/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis MB4_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis MB4_taxonomy rename to _cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis MB4_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis_taxonomy b/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis_taxonomy rename to _cache/ncbi_taxonomy/Caldanaerobacter subterraneus subsp. tengcongensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Caldicellulosiruptor saccharolyticus_taxonomy b/_cache/ncbi_taxonomy/Caldicellulosiruptor saccharolyticus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Caldicellulosiruptor saccharolyticus_taxonomy rename to _cache/ncbi_taxonomy/Caldicellulosiruptor saccharolyticus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Camelina sativa_taxonomy b/_cache/ncbi_taxonomy/Camelina sativa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Camelina sativa_taxonomy rename to _cache/ncbi_taxonomy/Camelina sativa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Camelus dromedarius_taxonomy b/_cache/ncbi_taxonomy/Camelus dromedarius_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Camelus dromedarius_taxonomy rename to _cache/ncbi_taxonomy/Camelus dromedarius_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Campylobacter jejuni_taxonomy b/_cache/ncbi_taxonomy/Campylobacter jejuni_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Campylobacter jejuni_taxonomy rename to _cache/ncbi_taxonomy/Campylobacter jejuni_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Canavalia ensiformis_taxonomy b/_cache/ncbi_taxonomy/Canavalia ensiformis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Canavalia ensiformis_taxonomy rename to _cache/ncbi_taxonomy/Canavalia ensiformis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida albicans_taxonomy b/_cache/ncbi_taxonomy/Candida albicans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida albicans_taxonomy rename to _cache/ncbi_taxonomy/Candida albicans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida glabrata_taxonomy_NA b/_cache/ncbi_taxonomy/Candida glabrata_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida glabrata_taxonomy_NA rename to _cache/ncbi_taxonomy/Candida glabrata_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida intermedia_taxonomy_NA b/_cache/ncbi_taxonomy/Candida intermedia_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida intermedia_taxonomy_NA rename to _cache/ncbi_taxonomy/Candida intermedia_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida mycoderma_taxonomy_NA b/_cache/ncbi_taxonomy/Candida mycoderma_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida mycoderma_taxonomy_NA rename to _cache/ncbi_taxonomy/Candida mycoderma_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida tenuis_taxonomy_NA b/_cache/ncbi_taxonomy/Candida tenuis_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida tenuis_taxonomy_NA rename to _cache/ncbi_taxonomy/Candida tenuis_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Candida tropicalis_taxonomy b/_cache/ncbi_taxonomy/Candida tropicalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Candida tropicalis_taxonomy rename to _cache/ncbi_taxonomy/Candida tropicalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Canid alphaherpesvirus 1_taxonomy b/_cache/ncbi_taxonomy/Canid alphaherpesvirus 1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Canid alphaherpesvirus 1_taxonomy rename to _cache/ncbi_taxonomy/Canid alphaherpesvirus 1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Canis lupus familiaris_taxonomy b/_cache/ncbi_taxonomy/Canis lupus familiaris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Canis lupus familiaris_taxonomy rename to _cache/ncbi_taxonomy/Canis lupus familiaris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Capitata_taxonomy b/_cache/ncbi_taxonomy/Capitata_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Capitata_taxonomy rename to _cache/ncbi_taxonomy/Capitata_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Capra capra_taxonomy_NA b/_cache/ncbi_taxonomy/Capra capra_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Capra capra_taxonomy_NA rename to _cache/ncbi_taxonomy/Capra capra_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Capra_taxonomy b/_cache/ncbi_taxonomy/Capra_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Capra_taxonomy rename to _cache/ncbi_taxonomy/Capra_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Capsicum frutescens_taxonomy b/_cache/ncbi_taxonomy/Capsicum frutescens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Capsicum frutescens_taxonomy rename to _cache/ncbi_taxonomy/Capsicum frutescens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Carassius auratus_taxonomy b/_cache/ncbi_taxonomy/Carassius auratus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Carassius auratus_taxonomy rename to _cache/ncbi_taxonomy/Carassius auratus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Carboxydothermus hydrogenoformans_taxonomy b/_cache/ncbi_taxonomy/Carboxydothermus hydrogenoformans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Carboxydothermus hydrogenoformans_taxonomy rename to _cache/ncbi_taxonomy/Carboxydothermus hydrogenoformans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Caulobacter vibrioides_taxonomy b/_cache/ncbi_taxonomy/Caulobacter vibrioides_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Caulobacter vibrioides_taxonomy rename to _cache/ncbi_taxonomy/Caulobacter vibrioides_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cavia porcellus_taxonomy b/_cache/ncbi_taxonomy/Cavia porcellus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cavia porcellus_taxonomy rename to _cache/ncbi_taxonomy/Cavia porcellus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cellulomonas sp._taxonomy b/_cache/ncbi_taxonomy/Cellulomonas sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cellulomonas sp._taxonomy rename to _cache/ncbi_taxonomy/Cellulomonas sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Ceratitis capitata_taxonomy b/_cache/ncbi_taxonomy/Ceratitis capitata_taxonomy similarity index 100% rename from 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S-77_taxonomy b/_cache/ncbi_taxonomy/Citrobacter sp. S-77_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Citrobacter sp. S-77_taxonomy rename to _cache/ncbi_taxonomy/Citrobacter sp. S-77_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Citrobacter sp._taxonomy b/_cache/ncbi_taxonomy/Citrobacter sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Citrobacter sp._taxonomy rename to _cache/ncbi_taxonomy/Citrobacter sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Classical swine fever virus_taxonomy b/_cache/ncbi_taxonomy/Classical swine fever virus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Classical swine fever virus_taxonomy rename to _cache/ncbi_taxonomy/Classical swine fever virus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Clonorchis sinensis_taxonomy b/_cache/ncbi_taxonomy/Clonorchis sinensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Clonorchis sinensis_taxonomy rename to _cache/ncbi_taxonomy/Clonorchis sinensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Clostridioides difficile_taxonomy b/_cache/ncbi_taxonomy/Clostridioides 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livia_taxonomy b/_cache/ncbi_taxonomy/Columba livia_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Columba livia_taxonomy rename to _cache/ncbi_taxonomy/Columba livia_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Columba sp._taxonomy b/_cache/ncbi_taxonomy/Columba sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Columba sp._taxonomy rename to _cache/ncbi_taxonomy/Columba sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Colwellia maris_taxonomy b/_cache/ncbi_taxonomy/Colwellia maris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Colwellia maris_taxonomy rename to _cache/ncbi_taxonomy/Colwellia maris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Colwellia psychrerythraea_taxonomy b/_cache/ncbi_taxonomy/Colwellia psychrerythraea_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Colwellia psychrerythraea_taxonomy rename to _cache/ncbi_taxonomy/Colwellia psychrerythraea_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Comamonas testosteroni_taxonomy b/_cache/ncbi_taxonomy/Comamonas testosteroni_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Comamonas testosteroni_taxonomy rename to _cache/ncbi_taxonomy/Comamonas testosteroni_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Conticribra weissflogii_taxonomy b/_cache/ncbi_taxonomy/Conticribra weissflogii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Conticribra weissflogii_taxonomy rename to _cache/ncbi_taxonomy/Conticribra weissflogii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Corynebacterium ammoniagenes_taxonomy b/_cache/ncbi_taxonomy/Corynebacterium ammoniagenes_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium ammoniagenes_taxonomy rename to _cache/ncbi_taxonomy/Corynebacterium ammoniagenes_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Corynebacterium callunae_taxonomy b/_cache/ncbi_taxonomy/Corynebacterium callunae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium callunae_taxonomy rename to _cache/ncbi_taxonomy/Corynebacterium callunae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Corynebacterium crenatum_taxonomy b/_cache/ncbi_taxonomy/Corynebacterium crenatum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium crenatum_taxonomy rename to _cache/ncbi_taxonomy/Corynebacterium crenatum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Corynebacterium glutamicum subsp. lactofermentum_taxonomy_NA b/_cache/ncbi_taxonomy/Corynebacterium glutamicum subsp. lactofermentum_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium glutamicum subsp. lactofermentum_taxonomy_NA rename to _cache/ncbi_taxonomy/Corynebacterium glutamicum subsp. lactofermentum_taxonomy_NA diff --git 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U-96_taxonomy b/_cache/ncbi_taxonomy/Corynebacterium sp. U-96_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium sp. U-96_taxonomy rename to _cache/ncbi_taxonomy/Corynebacterium sp. U-96_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Corynebacterium sp._taxonomy b/_cache/ncbi_taxonomy/Corynebacterium sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Corynebacterium sp._taxonomy rename to _cache/ncbi_taxonomy/Corynebacterium sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Coturnix coturnix japonica_taxonomy_NA b/_cache/ncbi_taxonomy/Coturnix coturnix japonica_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Coturnix coturnix japonica_taxonomy_NA rename to _cache/ncbi_taxonomy/Coturnix coturnix japonica_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Coturnix coturnix_taxonomy b/_cache/ncbi_taxonomy/Coturnix coturnix_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Coturnix coturnix_taxonomy rename to _cache/ncbi_taxonomy/Coturnix coturnix_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Coturnix japonica_taxonomy b/_cache/ncbi_taxonomy/Coturnix 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a/autopacmen/_cache/ncbi_taxonomy/Crithidia fasciculata_taxonomy b/_cache/ncbi_taxonomy/Crithidia fasciculata_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Crithidia fasciculata_taxonomy rename to _cache/ncbi_taxonomy/Crithidia fasciculata_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Crotalus adamanteus_taxonomy b/_cache/ncbi_taxonomy/Crotalus adamanteus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Crotalus adamanteus_taxonomy rename to _cache/ncbi_taxonomy/Crotalus adamanteus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cryptococcus flavus_taxonomy_NA b/_cache/ncbi_taxonomy/Cryptococcus flavus_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cryptococcus flavus_taxonomy_NA rename to _cache/ncbi_taxonomy/Cryptococcus flavus_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Cryptococcus neoformans_taxonomy b/_cache/ncbi_taxonomy/Cryptococcus neoformans_taxonomy similarity 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--git a/autopacmen/_cache/ncbi_taxonomy/Cyanidium caldarium_taxonomy b/_cache/ncbi_taxonomy/Cyanidium caldarium_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cyanidium caldarium_taxonomy rename to _cache/ncbi_taxonomy/Cyanidium caldarium_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cyanophora paradoxa_taxonomy b/_cache/ncbi_taxonomy/Cyanophora paradoxa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cyanophora paradoxa_taxonomy rename to _cache/ncbi_taxonomy/Cyanophora paradoxa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cyberlindnera jadinii_taxonomy b/_cache/ncbi_taxonomy/Cyberlindnera jadinii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Cyberlindnera jadinii_taxonomy rename to _cache/ncbi_taxonomy/Cyberlindnera jadinii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Cyprinus carpio_taxonomy b/_cache/ncbi_taxonomy/Cyprinus carpio_taxonomy similarity index 100% rename from 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a/autopacmen/_cache/ncbi_taxonomy/Drosophila lebanonensis_taxonomy_NA b/_cache/ncbi_taxonomy/Drosophila lebanonensis_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Drosophila lebanonensis_taxonomy_NA rename to _cache/ncbi_taxonomy/Drosophila lebanonensis_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Drosophila melanogaster_taxonomy b/_cache/ncbi_taxonomy/Drosophila melanogaster_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Drosophila melanogaster_taxonomy rename to _cache/ncbi_taxonomy/Drosophila melanogaster_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Dunaliella salina_taxonomy b/_cache/ncbi_taxonomy/Dunaliella salina_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Dunaliella salina_taxonomy rename to _cache/ncbi_taxonomy/Dunaliella salina_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Dysdercus peruvianus_taxonomy b/_cache/ncbi_taxonomy/Dysdercus peruvianus_taxonomy 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diff --git a/autopacmen/_cache/ncbi_taxonomy/Enterococcus sp._taxonomy b/_cache/ncbi_taxonomy/Enterococcus sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Enterococcus sp._taxonomy rename to _cache/ncbi_taxonomy/Enterococcus sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Epstein-Barr virus_taxonomy_NA b/_cache/ncbi_taxonomy/Epstein-Barr virus_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Epstein-Barr virus_taxonomy_NA rename to _cache/ncbi_taxonomy/Epstein-Barr virus_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Equine infectious anemia virus_taxonomy b/_cache/ncbi_taxonomy/Equine infectious anemia virus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Equine infectious anemia virus_taxonomy rename to _cache/ncbi_taxonomy/Equine infectious anemia virus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Equus caballus_taxonomy b/_cache/ncbi_taxonomy/Equus caballus_taxonomy 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rhapontici_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Erysipelothrix rhusiopathiae_taxonomy b/_cache/ncbi_taxonomy/Erysipelothrix rhusiopathiae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Erysipelothrix rhusiopathiae_taxonomy rename to _cache/ncbi_taxonomy/Erysipelothrix rhusiopathiae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Erythroxylum coca_taxonomy b/_cache/ncbi_taxonomy/Erythroxylum coca_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Erythroxylum coca_taxonomy rename to _cache/ncbi_taxonomy/Erythroxylum coca_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Escherichia coli K-12_taxonomy b/_cache/ncbi_taxonomy/Escherichia coli K-12_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Escherichia coli K-12_taxonomy rename to _cache/ncbi_taxonomy/Escherichia coli K-12_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Escherichia coli P31658 P31658_taxonomy_NA 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diff --git a/autopacmen/_cache/ncbi_taxonomy/Haloferax volcanii_taxonomy b/_cache/ncbi_taxonomy/Haloferax volcanii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Haloferax volcanii_taxonomy rename to _cache/ncbi_taxonomy/Haloferax volcanii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Halothiobacillus neapolitanus_taxonomy b/_cache/ncbi_taxonomy/Halothiobacillus neapolitanus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Halothiobacillus neapolitanus_taxonomy rename to _cache/ncbi_taxonomy/Halothiobacillus neapolitanus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Hansenula henricii_taxonomy_NA b/_cache/ncbi_taxonomy/Hansenula henricii_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Hansenula henricii_taxonomy_NA rename to _cache/ncbi_taxonomy/Hansenula henricii_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Helianthus annuus_taxonomy b/_cache/ncbi_taxonomy/Helianthus 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Y04AAS1_taxonomy b/_cache/ncbi_taxonomy/Hydrogenobaculum sp. Y04AAS1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Hydrogenobaculum sp. Y04AAS1_taxonomy rename to _cache/ncbi_taxonomy/Hydrogenobaculum sp. Y04AAS1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Ignisphaera aggregans_taxonomy b/_cache/ncbi_taxonomy/Ignisphaera aggregans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Ignisphaera aggregans_taxonomy rename to _cache/ncbi_taxonomy/Ignisphaera aggregans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Ipomoea batatas_taxonomy b/_cache/ncbi_taxonomy/Ipomoea batatas_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Ipomoea batatas_taxonomy rename to _cache/ncbi_taxonomy/Ipomoea batatas_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Klebsiella aerogenes_taxonomy b/_cache/ncbi_taxonomy/Klebsiella aerogenes_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Klebsiella aerogenes_taxonomy rename to _cache/ncbi_taxonomy/Klebsiella aerogenes_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Klebsiella pneumoniae_taxonomy b/_cache/ncbi_taxonomy/Klebsiella pneumoniae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Klebsiella pneumoniae_taxonomy rename to _cache/ncbi_taxonomy/Klebsiella pneumoniae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Kluyveromyces lactis_taxonomy b/_cache/ncbi_taxonomy/Kluyveromyces lactis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Kluyveromyces lactis_taxonomy rename to _cache/ncbi_taxonomy/Kluyveromyces lactis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Kluyveromyces marxianus_taxonomy b/_cache/ncbi_taxonomy/Kluyveromyces marxianus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Kluyveromyces marxianus_taxonomy rename to _cache/ncbi_taxonomy/Kluyveromyces marxianus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Komagataeibacter xylinus_taxonomy b/_cache/ncbi_taxonomy/Komagataeibacter xylinus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Komagataeibacter xylinus_taxonomy rename to _cache/ncbi_taxonomy/Komagataeibacter xylinus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Komagataella pastoris_taxonomy b/_cache/ncbi_taxonomy/Komagataella pastoris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Komagataella pastoris_taxonomy rename to _cache/ncbi_taxonomy/Komagataella pastoris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lachancea kluyveri_taxonomy b/_cache/ncbi_taxonomy/Lachancea kluyveri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lachancea kluyveri_taxonomy rename to _cache/ncbi_taxonomy/Lachancea kluyveri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lachnoclostridium phytofermentans_taxonomy b/_cache/ncbi_taxonomy/Lachnoclostridium phytofermentans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lachnoclostridium phytofermentans_taxonomy rename to _cache/ncbi_taxonomy/Lachnoclostridium phytofermentans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus acidophilus_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus acidophilus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus acidophilus_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus acidophilus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus brevis_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus brevis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus brevis_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus brevis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus casei_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus casei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus casei_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus casei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. bulgaricus_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. bulgaricus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. bulgaricus_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. bulgaricus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. lactis_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. lactis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. lactis_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus delbrueckii subsp. lactis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus delbrueckii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus delbrueckii_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus delbrueckii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus fermentum_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus fermentum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus fermentum_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus fermentum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus gasseri_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus gasseri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus gasseri_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus gasseri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus helveticus_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus helveticus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus helveticus_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus helveticus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus jensenii_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus jensenii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus jensenii_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus jensenii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus leichmannii_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus leichmannii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus leichmannii_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus leichmannii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus paracasei_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus paracasei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus paracasei_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus paracasei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus pentosus_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus pentosus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus pentosus_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus pentosus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum WCFS1_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus plantarum WCFS1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum WCFS1_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus plantarum WCFS1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum subsp. plantarum_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus plantarum subsp. plantarum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum subsp. plantarum_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus plantarum subsp. plantarum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus plantarum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus plantarum_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus plantarum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus reuteri_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus reuteri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus reuteri_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus reuteri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus saerimneri 30a_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus saerimneri 30a_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus saerimneri 30a_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus saerimneri 30a_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus sakei_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus sakei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus sakei_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus sakei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus sp. 30A_taxonomy b/_cache/ncbi_taxonomy/Lactobacillus sp. 30A_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus sp. 30A_taxonomy rename to _cache/ncbi_taxonomy/Lactobacillus sp. 30A_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactobacillus sp. 30a_taxonomy_NA b/_cache/ncbi_taxonomy/Lactobacillus sp. 30a_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactobacillus sp. 30a_taxonomy_NA rename to _cache/ncbi_taxonomy/Lactobacillus sp. 30a_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis subsp. cremoris_taxonomy b/_cache/ncbi_taxonomy/Lactococcus lactis subsp. cremoris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis subsp. cremoris_taxonomy rename to _cache/ncbi_taxonomy/Lactococcus lactis subsp. cremoris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis subsp. lactis_taxonomy b/_cache/ncbi_taxonomy/Lactococcus lactis subsp. lactis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis subsp. lactis_taxonomy rename to _cache/ncbi_taxonomy/Lactococcus lactis subsp. lactis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis_taxonomy b/_cache/ncbi_taxonomy/Lactococcus lactis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lactococcus lactis_taxonomy rename to _cache/ncbi_taxonomy/Lactococcus lactis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lampetra japonica_taxonomy_NA b/_cache/ncbi_taxonomy/Lampetra japonica_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lampetra japonica_taxonomy_NA rename to _cache/ncbi_taxonomy/Lampetra japonica_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Lathyrus cicera_taxonomy b/_cache/ncbi_taxonomy/Lathyrus cicera_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lathyrus cicera_taxonomy rename to _cache/ncbi_taxonomy/Lathyrus cicera_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Legionella pneumophila_taxonomy b/_cache/ncbi_taxonomy/Legionella pneumophila_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Legionella pneumophila_taxonomy rename to _cache/ncbi_taxonomy/Legionella pneumophila_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania amazonensis_taxonomy b/_cache/ncbi_taxonomy/Leishmania amazonensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania amazonensis_taxonomy rename to _cache/ncbi_taxonomy/Leishmania amazonensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania braziliensis_taxonomy b/_cache/ncbi_taxonomy/Leishmania braziliensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania braziliensis_taxonomy rename to _cache/ncbi_taxonomy/Leishmania braziliensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania chagasi_taxonomy b/_cache/ncbi_taxonomy/Leishmania chagasi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania chagasi_taxonomy rename to _cache/ncbi_taxonomy/Leishmania chagasi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania donovani_taxonomy b/_cache/ncbi_taxonomy/Leishmania donovani_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania donovani_taxonomy rename to _cache/ncbi_taxonomy/Leishmania donovani_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania infantum_taxonomy b/_cache/ncbi_taxonomy/Leishmania infantum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania infantum_taxonomy rename to _cache/ncbi_taxonomy/Leishmania infantum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania major_taxonomy b/_cache/ncbi_taxonomy/Leishmania major_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania major_taxonomy rename to _cache/ncbi_taxonomy/Leishmania major_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leishmania mexicana_taxonomy b/_cache/ncbi_taxonomy/Leishmania mexicana_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leishmania mexicana_taxonomy rename to _cache/ncbi_taxonomy/Leishmania mexicana_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lens culinaris_taxonomy b/_cache/ncbi_taxonomy/Lens culinaris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lens culinaris_taxonomy rename to _cache/ncbi_taxonomy/Lens culinaris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leptospira biflexa serovar Patoc_taxonomy b/_cache/ncbi_taxonomy/Leptospira biflexa serovar Patoc_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leptospira biflexa serovar Patoc_taxonomy rename to _cache/ncbi_taxonomy/Leptospira biflexa serovar Patoc_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leptospira interrogans serovar Copenhageni_taxonomy b/_cache/ncbi_taxonomy/Leptospira interrogans serovar Copenhageni_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leptospira interrogans serovar Copenhageni_taxonomy rename to _cache/ncbi_taxonomy/Leptospira interrogans serovar Copenhageni_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lethenteron camtschaticum_taxonomy b/_cache/ncbi_taxonomy/Lethenteron camtschaticum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lethenteron camtschaticum_taxonomy rename to _cache/ncbi_taxonomy/Lethenteron camtschaticum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lethocerus indicus_taxonomy b/_cache/ncbi_taxonomy/Lethocerus indicus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lethocerus indicus_taxonomy rename to _cache/ncbi_taxonomy/Lethocerus indicus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leuconostoc mesenteroides subsp. mesenteroides_taxonomy b/_cache/ncbi_taxonomy/Leuconostoc mesenteroides subsp. mesenteroides_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leuconostoc mesenteroides subsp. mesenteroides_taxonomy rename to _cache/ncbi_taxonomy/Leuconostoc mesenteroides subsp. mesenteroides_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Leuconostoc mesenteroides_taxonomy b/_cache/ncbi_taxonomy/Leuconostoc mesenteroides_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Leuconostoc mesenteroides_taxonomy rename to _cache/ncbi_taxonomy/Leuconostoc mesenteroides_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Limulus polyphemus_taxonomy b/_cache/ncbi_taxonomy/Limulus polyphemus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Limulus polyphemus_taxonomy rename to _cache/ncbi_taxonomy/Limulus polyphemus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lipomyces starkeyi_taxonomy b/_cache/ncbi_taxonomy/Lipomyces starkeyi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lipomyces starkeyi_taxonomy rename to _cache/ncbi_taxonomy/Lipomyces starkeyi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Listeria monocytogenes_taxonomy b/_cache/ncbi_taxonomy/Listeria monocytogenes_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Listeria monocytogenes_taxonomy rename to _cache/ncbi_taxonomy/Listeria monocytogenes_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Listeria seeligeri_taxonomy b/_cache/ncbi_taxonomy/Listeria seeligeri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Listeria seeligeri_taxonomy rename to _cache/ncbi_taxonomy/Listeria seeligeri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Litopenaeus vannamei_taxonomy_NA b/_cache/ncbi_taxonomy/Litopenaeus vannamei_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Litopenaeus vannamei_taxonomy_NA rename to _cache/ncbi_taxonomy/Litopenaeus vannamei_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Lotus japonicus_taxonomy b/_cache/ncbi_taxonomy/Lotus japonicus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lotus japonicus_taxonomy rename to _cache/ncbi_taxonomy/Lotus japonicus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lucilia cuprina_taxonomy b/_cache/ncbi_taxonomy/Lucilia cuprina_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lucilia cuprina_taxonomy rename to _cache/ncbi_taxonomy/Lucilia cuprina_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lupinus luteus_taxonomy b/_cache/ncbi_taxonomy/Lupinus luteus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lupinus luteus_taxonomy rename to _cache/ncbi_taxonomy/Lupinus luteus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Lysinibacillus sphaericus_taxonomy b/_cache/ncbi_taxonomy/Lysinibacillus sphaericus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Lysinibacillus sphaericus_taxonomy rename to _cache/ncbi_taxonomy/Lysinibacillus sphaericus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Macaca mulatta_taxonomy b/_cache/ncbi_taxonomy/Macaca mulatta_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Macaca mulatta_taxonomy rename to _cache/ncbi_taxonomy/Macaca mulatta_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Macaca radiata_taxonomy b/_cache/ncbi_taxonomy/Macaca radiata_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Macaca radiata_taxonomy rename to _cache/ncbi_taxonomy/Macaca radiata_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Macadamia tetraphylla_taxonomy b/_cache/ncbi_taxonomy/Macadamia tetraphylla_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Macadamia tetraphylla_taxonomy rename to _cache/ncbi_taxonomy/Macadamia tetraphylla_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Magnaporthe grisea_taxonomy_NA b/_cache/ncbi_taxonomy/Magnaporthe grisea_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Magnaporthe grisea_taxonomy_NA rename to _cache/ncbi_taxonomy/Magnaporthe grisea_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Magnetospirillum magnetotacticum_taxonomy b/_cache/ncbi_taxonomy/Magnetospirillum magnetotacticum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Magnetospirillum magnetotacticum_taxonomy rename to _cache/ncbi_taxonomy/Magnetospirillum magnetotacticum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Malassezia globosa_taxonomy b/_cache/ncbi_taxonomy/Malassezia globosa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Malassezia globosa_taxonomy rename to _cache/ncbi_taxonomy/Malassezia globosa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Malus domestica_taxonomy b/_cache/ncbi_taxonomy/Malus domestica_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Malus domestica_taxonomy rename to _cache/ncbi_taxonomy/Malus domestica_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Mammalia_taxonomy b/_cache/ncbi_taxonomy/Mammalia_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Mammalia_taxonomy rename to _cache/ncbi_taxonomy/Mammalia_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Mammalian orthoreovirus_taxonomy b/_cache/ncbi_taxonomy/Mammalian orthoreovirus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Mammalian orthoreovirus_taxonomy rename to _cache/ncbi_taxonomy/Mammalian orthoreovirus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Manihot esculenta_taxonomy b/_cache/ncbi_taxonomy/Manihot esculenta_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Manihot esculenta_taxonomy rename to _cache/ncbi_taxonomy/Manihot esculenta_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Marinithermus hydrothermalis_taxonomy b/_cache/ncbi_taxonomy/Marinithermus hydrothermalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Marinithermus hydrothermalis_taxonomy rename to _cache/ncbi_taxonomy/Marinithermus hydrothermalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Medicago truncatula_taxonomy b/_cache/ncbi_taxonomy/Medicago truncatula_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Medicago truncatula_taxonomy rename to _cache/ncbi_taxonomy/Medicago truncatula_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Megasphaera elsdenii_taxonomy b/_cache/ncbi_taxonomy/Megasphaera elsdenii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Megasphaera elsdenii_taxonomy rename to _cache/ncbi_taxonomy/Megasphaera elsdenii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Meiothermus ruber_taxonomy b/_cache/ncbi_taxonomy/Meiothermus ruber_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Meiothermus ruber_taxonomy rename to _cache/ncbi_taxonomy/Meiothermus ruber_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Meleagris gallopavo_taxonomy b/_cache/ncbi_taxonomy/Meleagris gallopavo_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Meleagris gallopavo_taxonomy rename to _cache/ncbi_taxonomy/Meleagris gallopavo_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Mesocricetus auratus_taxonomy b/_cache/ncbi_taxonomy/Mesocricetus auratus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Mesocricetus auratus_taxonomy rename to _cache/ncbi_taxonomy/Mesocricetus auratus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Mesorhizobium loti_taxonomy b/_cache/ncbi_taxonomy/Mesorhizobium loti_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Mesorhizobium loti_taxonomy rename to _cache/ncbi_taxonomy/Mesorhizobium loti_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Metacordyceps brittlebankisoides_taxonomy_NA b/_cache/ncbi_taxonomy/Metacordyceps brittlebankisoides_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Metacordyceps brittlebankisoides_taxonomy_NA rename to _cache/ncbi_taxonomy/Metacordyceps brittlebankisoides_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Metallosphaera sedula_taxonomy b/_cache/ncbi_taxonomy/Metallosphaera sedula_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Metallosphaera sedula_taxonomy rename to _cache/ncbi_taxonomy/Metallosphaera sedula_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Metarhizium anisopliae_taxonomy b/_cache/ncbi_taxonomy/Metarhizium anisopliae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Metarhizium anisopliae_taxonomy rename to _cache/ncbi_taxonomy/Metarhizium anisopliae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Metarhizium brittlebankisoides_taxonomy 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autopacmen/_cache/ncbi_taxonomy/Paenarthrobacter aurescens_taxonomy rename to _cache/ncbi_taxonomy/Paenarthrobacter aurescens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paenarthrobacter nicotinovorans_taxonomy b/_cache/ncbi_taxonomy/Paenarthrobacter nicotinovorans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paenarthrobacter nicotinovorans_taxonomy rename to _cache/ncbi_taxonomy/Paenarthrobacter nicotinovorans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paenarthrobacter ureafaciens_taxonomy b/_cache/ncbi_taxonomy/Paenarthrobacter ureafaciens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paenarthrobacter ureafaciens_taxonomy rename to _cache/ncbi_taxonomy/Paenarthrobacter ureafaciens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paenibacillus sp._taxonomy b/_cache/ncbi_taxonomy/Paenibacillus sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paenibacillus sp._taxonomy rename to _cache/ncbi_taxonomy/Paenibacillus sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paenibacillus thiaminolyticus_taxonomy b/_cache/ncbi_taxonomy/Paenibacillus thiaminolyticus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paenibacillus thiaminolyticus_taxonomy rename to _cache/ncbi_taxonomy/Paenibacillus thiaminolyticus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pagrus major_taxonomy b/_cache/ncbi_taxonomy/Pagrus major_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pagrus major_taxonomy rename to _cache/ncbi_taxonomy/Pagrus major_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pandalus borealis_taxonomy b/_cache/ncbi_taxonomy/Pandalus borealis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pandalus borealis_taxonomy rename to _cache/ncbi_taxonomy/Pandalus borealis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Panicum miliaceum_taxonomy b/_cache/ncbi_taxonomy/Panicum miliaceum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Panicum miliaceum_taxonomy rename to _cache/ncbi_taxonomy/Panicum miliaceum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pantoea agglomerans_taxonomy b/_cache/ncbi_taxonomy/Pantoea agglomerans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pantoea agglomerans_taxonomy rename to _cache/ncbi_taxonomy/Pantoea agglomerans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Papaver somniferum_taxonomy b/_cache/ncbi_taxonomy/Papaver somniferum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Papaver somniferum_taxonomy rename to _cache/ncbi_taxonomy/Papaver somniferum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paraburkholderia phenoliruptrix_taxonomy b/_cache/ncbi_taxonomy/Paraburkholderia phenoliruptrix_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paraburkholderia phenoliruptrix_taxonomy rename to _cache/ncbi_taxonomy/Paraburkholderia phenoliruptrix_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paraburkholderia xenovorans LB400_taxonomy b/_cache/ncbi_taxonomy/Paraburkholderia xenovorans LB400_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paraburkholderia xenovorans LB400_taxonomy rename to _cache/ncbi_taxonomy/Paraburkholderia xenovorans LB400_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paraburkholderia xenovorans_taxonomy b/_cache/ncbi_taxonomy/Paraburkholderia xenovorans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paraburkholderia xenovorans_taxonomy rename to _cache/ncbi_taxonomy/Paraburkholderia xenovorans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paracoccus denitrificans_taxonomy b/_cache/ncbi_taxonomy/Paracoccus denitrificans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paracoccus denitrificans_taxonomy rename to _cache/ncbi_taxonomy/Paracoccus denitrificans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Parageobacillus thermoglucosidasius_taxonomy b/_cache/ncbi_taxonomy/Parageobacillus thermoglucosidasius_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Parageobacillus thermoglucosidasius_taxonomy rename to _cache/ncbi_taxonomy/Parageobacillus thermoglucosidasius_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paramecium bursaria Chlorella virus 1_taxonomy b/_cache/ncbi_taxonomy/Paramecium bursaria Chlorella virus 1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paramecium bursaria Chlorella virus 1_taxonomy rename to _cache/ncbi_taxonomy/Paramecium bursaria Chlorella virus 1_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Paramecium bursaria chlorella virus 1_taxonomy_NA b/_cache/ncbi_taxonomy/Paramecium bursaria chlorella virus 1_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Paramecium bursaria chlorella virus 1_taxonomy_NA rename to _cache/ncbi_taxonomy/Paramecium bursaria chlorella virus 1_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pareledone sp._taxonomy_NA b/_cache/ncbi_taxonomy/Pareledone sp._taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pareledone sp._taxonomy_NA rename to _cache/ncbi_taxonomy/Pareledone sp._taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pasteurella multocida_taxonomy b/_cache/ncbi_taxonomy/Pasteurella multocida_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pasteurella multocida_taxonomy rename to _cache/ncbi_taxonomy/Pasteurella multocida_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pectobacterium carotovorum subsp. carotovorum_taxonomy b/_cache/ncbi_taxonomy/Pectobacterium carotovorum subsp. carotovorum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pectobacterium carotovorum subsp. carotovorum_taxonomy rename to _cache/ncbi_taxonomy/Pectobacterium carotovorum subsp. carotovorum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pectobacterium carotovorum_taxonomy b/_cache/ncbi_taxonomy/Pectobacterium carotovorum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pectobacterium carotovorum_taxonomy rename to _cache/ncbi_taxonomy/Pectobacterium carotovorum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pediococcus acidilactici_taxonomy b/_cache/ncbi_taxonomy/Pediococcus acidilactici_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pediococcus acidilactici_taxonomy rename to _cache/ncbi_taxonomy/Pediococcus acidilactici_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pediococcus pentosaceus_taxonomy b/_cache/ncbi_taxonomy/Pediococcus pentosaceus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pediococcus pentosaceus_taxonomy rename to _cache/ncbi_taxonomy/Pediococcus pentosaceus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pelotomaculum thermopropionicum_taxonomy b/_cache/ncbi_taxonomy/Pelotomaculum thermopropionicum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pelotomaculum thermopropionicum_taxonomy rename to _cache/ncbi_taxonomy/Pelotomaculum thermopropionicum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Penaeus vannamei_taxonomy b/_cache/ncbi_taxonomy/Penaeus vannamei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Penaeus vannamei_taxonomy rename to _cache/ncbi_taxonomy/Penaeus vannamei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Penicillium canescens_taxonomy b/_cache/ncbi_taxonomy/Penicillium canescens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Penicillium canescens_taxonomy rename to _cache/ncbi_taxonomy/Penicillium canescens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Penicillium chrysogenum_taxonomy b/_cache/ncbi_taxonomy/Penicillium chrysogenum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Penicillium chrysogenum_taxonomy rename to _cache/ncbi_taxonomy/Penicillium chrysogenum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Petunia hybrida_taxonomy_NA b/_cache/ncbi_taxonomy/Petunia hybrida_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Petunia hybrida_taxonomy_NA rename to _cache/ncbi_taxonomy/Petunia hybrida_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Petunia x hybrida_taxonomy b/_cache/ncbi_taxonomy/Petunia x hybrida_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Petunia x hybrida_taxonomy rename to _cache/ncbi_taxonomy/Petunia x hybrida_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Phanerochaete chrysosporium_taxonomy b/_cache/ncbi_taxonomy/Phanerochaete chrysosporium_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Phanerochaete chrysosporium_taxonomy rename to _cache/ncbi_taxonomy/Phanerochaete chrysosporium_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Phaseolus vulgaris_taxonomy b/_cache/ncbi_taxonomy/Phaseolus vulgaris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Phaseolus vulgaris_taxonomy rename to _cache/ncbi_taxonomy/Phaseolus vulgaris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pholiota nameko_taxonomy b/_cache/ncbi_taxonomy/Pholiota nameko_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pholiota nameko_taxonomy rename to _cache/ncbi_taxonomy/Pholiota nameko_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Phormidium lapideum_taxonomy b/_cache/ncbi_taxonomy/Phormidium lapideum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Phormidium lapideum_taxonomy rename to _cache/ncbi_taxonomy/Phormidium lapideum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Photobacterium leiognathi_taxonomy b/_cache/ncbi_taxonomy/Photobacterium leiognathi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Photobacterium leiognathi_taxonomy rename to _cache/ncbi_taxonomy/Photobacterium leiognathi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Photobacterium phosphoreum_taxonomy b/_cache/ncbi_taxonomy/Photobacterium phosphoreum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Photobacterium phosphoreum_taxonomy rename to _cache/ncbi_taxonomy/Photobacterium phosphoreum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Photobacterium profundum_taxonomy b/_cache/ncbi_taxonomy/Photobacterium profundum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Photobacterium profundum_taxonomy rename to _cache/ncbi_taxonomy/Photobacterium profundum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Physcomitrella patens_taxonomy b/_cache/ncbi_taxonomy/Physcomitrella patens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Physcomitrella patens_taxonomy rename to _cache/ncbi_taxonomy/Physcomitrella patens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Picea abies_taxonomy b/_cache/ncbi_taxonomy/Picea abies_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Picea abies_taxonomy rename to _cache/ncbi_taxonomy/Picea abies_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Picrophilus torridus_taxonomy b/_cache/ncbi_taxonomy/Picrophilus torridus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Picrophilus torridus_taxonomy rename to _cache/ncbi_taxonomy/Picrophilus torridus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pinus pinea_taxonomy b/_cache/ncbi_taxonomy/Pinus pinea_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pinus pinea_taxonomy rename to _cache/ncbi_taxonomy/Pinus pinea_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pisum sativum_taxonomy b/_cache/ncbi_taxonomy/Pisum sativum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pisum sativum_taxonomy rename to _cache/ncbi_taxonomy/Pisum sativum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Planococcus sp. (in: Bacteria)_taxonomy b/_cache/ncbi_taxonomy/Planococcus sp. (in: Bacteria)_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Planococcus sp. (in: Bacteria)_taxonomy rename to _cache/ncbi_taxonomy/Planococcus sp. (in: Bacteria)_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Planococcus sp._taxonomy_NA b/_cache/ncbi_taxonomy/Planococcus sp._taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Planococcus sp._taxonomy_NA rename to _cache/ncbi_taxonomy/Planococcus sp._taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium berghei_taxonomy b/_cache/ncbi_taxonomy/Plasmodium berghei_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium berghei_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium berghei_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium cynomolgi_taxonomy b/_cache/ncbi_taxonomy/Plasmodium cynomolgi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium cynomolgi_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium cynomolgi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium falciparum_taxonomy b/_cache/ncbi_taxonomy/Plasmodium falciparum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium falciparum_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium falciparum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium gallinaceum_taxonomy b/_cache/ncbi_taxonomy/Plasmodium gallinaceum_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium gallinaceum_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium gallinaceum_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium knowlesi_taxonomy b/_cache/ncbi_taxonomy/Plasmodium knowlesi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium knowlesi_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium knowlesi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium vivax_taxonomy b/_cache/ncbi_taxonomy/Plasmodium vivax_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium vivax_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium vivax_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Plasmodium yoelii_taxonomy b/_cache/ncbi_taxonomy/Plasmodium yoelii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Plasmodium yoelii_taxonomy rename to _cache/ncbi_taxonomy/Plasmodium yoelii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Platyrrhini_taxonomy b/_cache/ncbi_taxonomy/Platyrrhini_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Platyrrhini_taxonomy rename to _cache/ncbi_taxonomy/Platyrrhini_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pleurotus eryngii_taxonomy b/_cache/ncbi_taxonomy/Pleurotus eryngii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pleurotus eryngii_taxonomy rename to _cache/ncbi_taxonomy/Pleurotus eryngii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pleurotus ostreatus_taxonomy b/_cache/ncbi_taxonomy/Pleurotus ostreatus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pleurotus ostreatus_taxonomy rename to _cache/ncbi_taxonomy/Pleurotus ostreatus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pleurotus sapidus_taxonomy b/_cache/ncbi_taxonomy/Pleurotus sapidus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pleurotus sapidus_taxonomy rename to _cache/ncbi_taxonomy/Pleurotus sapidus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pneumocystis carinii_taxonomy b/_cache/ncbi_taxonomy/Pneumocystis carinii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pneumocystis carinii_taxonomy rename to _cache/ncbi_taxonomy/Pneumocystis carinii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pneumocystis jiroveci_taxonomy_NA b/_cache/ncbi_taxonomy/Pneumocystis jiroveci_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pneumocystis jiroveci_taxonomy_NA rename to _cache/ncbi_taxonomy/Pneumocystis jiroveci_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pneumocystis jirovecii_taxonomy b/_cache/ncbi_taxonomy/Pneumocystis jirovecii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pneumocystis jirovecii_taxonomy rename to _cache/ncbi_taxonomy/Pneumocystis jirovecii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Populus deltoides_taxonomy b/_cache/ncbi_taxonomy/Populus deltoides_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Populus deltoides_taxonomy rename to _cache/ncbi_taxonomy/Populus deltoides_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Populus tremula_taxonomy b/_cache/ncbi_taxonomy/Populus tremula_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Populus tremula_taxonomy rename to _cache/ncbi_taxonomy/Populus tremula_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Populus trichocarpa_taxonomy b/_cache/ncbi_taxonomy/Populus trichocarpa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Populus trichocarpa_taxonomy rename to _cache/ncbi_taxonomy/Populus trichocarpa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Porphyromonas gingivalis_taxonomy b/_cache/ncbi_taxonomy/Porphyromonas gingivalis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Porphyromonas gingivalis_taxonomy rename to _cache/ncbi_taxonomy/Porphyromonas gingivalis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Prevotella intermedia_taxonomy b/_cache/ncbi_taxonomy/Prevotella intermedia_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Prevotella intermedia_taxonomy rename to _cache/ncbi_taxonomy/Prevotella intermedia_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Prosthecobacter sp._taxonomy_NA b/_cache/ncbi_taxonomy/Prosthecobacter sp._taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Prosthecobacter sp._taxonomy_NA rename to _cache/ncbi_taxonomy/Prosthecobacter sp._taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Proteus mirabilis_taxonomy b/_cache/ncbi_taxonomy/Proteus mirabilis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Proteus mirabilis_taxonomy rename to _cache/ncbi_taxonomy/Proteus mirabilis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Proteus vulgaris_taxonomy b/_cache/ncbi_taxonomy/Proteus vulgaris_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Proteus vulgaris_taxonomy rename to _cache/ncbi_taxonomy/Proteus vulgaris_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudanabaena sp._taxonomy b/_cache/ncbi_taxonomy/Pseudanabaena sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudanabaena sp._taxonomy rename to _cache/ncbi_taxonomy/Pseudanabaena sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudoalteromonas haloplanktis_taxonomy b/_cache/ncbi_taxonomy/Pseudoalteromonas haloplanktis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudoalteromonas haloplanktis_taxonomy rename to _cache/ncbi_taxonomy/Pseudoalteromonas haloplanktis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudoalteromonas sp._taxonomy b/_cache/ncbi_taxonomy/Pseudoalteromonas sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudoalteromonas sp._taxonomy rename to _cache/ncbi_taxonomy/Pseudoalteromonas sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas aeruginosa_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas aeruginosa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas aeruginosa_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas aeruginosa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas dacunhae_taxonomy_NA b/_cache/ncbi_taxonomy/Pseudomonas dacunhae_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas dacunhae_taxonomy_NA rename to _cache/ncbi_taxonomy/Pseudomonas dacunhae_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas denitrificans (nomen rejiciendum)_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas denitrificans (nomen rejiciendum)_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas denitrificans (nomen rejiciendum)_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas denitrificans (nomen rejiciendum)_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas denitrificans_taxonomy_NA b/_cache/ncbi_taxonomy/Pseudomonas denitrificans_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas denitrificans_taxonomy_NA rename to _cache/ncbi_taxonomy/Pseudomonas denitrificans_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas fluorescens_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas fluorescens_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas fluorescens_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas fluorescens_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas phage phi8_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas phage phi8_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas phage phi8_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas phage phi8_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas protegens Pf-5_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas protegens Pf-5_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas protegens Pf-5_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas protegens Pf-5_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas putida KT2440_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas putida KT2440_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas putida KT2440_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas putida KT2440_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas putida_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas putida_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas putida_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas putida_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas savastanoi pv. phaseolicola_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas savastanoi pv. phaseolicola_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas savastanoi pv. phaseolicola_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas savastanoi pv. phaseolicola_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas savastanoi_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas savastanoi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas savastanoi_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas savastanoi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas sp._taxonomy b/_cache/ncbi_taxonomy/Pseudomonas sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas sp._taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas stutzeri_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas stutzeri_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas stutzeri_taxonomy rename to _cache/ncbi_taxonomy/Pseudomonas stutzeri_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas syringae phaseolicola_taxonomy_NA b/_cache/ncbi_taxonomy/Pseudomonas syringae phaseolicola_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Pseudomonas syringae phaseolicola_taxonomy_NA rename to _cache/ncbi_taxonomy/Pseudomonas syringae phaseolicola_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Pseudomonas syringae_taxonomy b/_cache/ncbi_taxonomy/Pseudomonas syringae_taxonomy similarity index 100% rename from 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capsulatus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Rhodobacter sphaeroides_taxonomy b/_cache/ncbi_taxonomy/Rhodobacter sphaeroides_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Rhodobacter sphaeroides_taxonomy rename to _cache/ncbi_taxonomy/Rhodobacter sphaeroides_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Rhodococcus erythropolis_taxonomy b/_cache/ncbi_taxonomy/Rhodococcus erythropolis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Rhodococcus erythropolis_taxonomy rename to _cache/ncbi_taxonomy/Rhodococcus erythropolis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Rhodococcus jostii_taxonomy b/_cache/ncbi_taxonomy/Rhodococcus jostii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Rhodococcus jostii_taxonomy rename to _cache/ncbi_taxonomy/Rhodococcus jostii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Rhodococcus opacus_taxonomy 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a/autopacmen/_cache/ncbi_taxonomy/Rhodotorula aurantiaca_taxonomy_NA b/_cache/ncbi_taxonomy/Rhodotorula aurantiaca_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Rhodotorula aurantiaca_taxonomy_NA rename to _cache/ncbi_taxonomy/Rhodotorula aurantiaca_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Ricinus communis_taxonomy b/_cache/ncbi_taxonomy/Ricinus communis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Ricinus communis_taxonomy rename to _cache/ncbi_taxonomy/Ricinus communis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Ruminiclostridium thermocellum_taxonomy_NA b/_cache/ncbi_taxonomy/Ruminiclostridium thermocellum_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Ruminiclostridium thermocellum_taxonomy_NA rename to _cache/ncbi_taxonomy/Ruminiclostridium thermocellum_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/SARS coronavirus_taxonomy_NA 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flava_taxonomy b/_cache/ncbi_taxonomy/Saitozyma flava_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Saitozyma flava_taxonomy rename to _cache/ncbi_taxonomy/Saitozyma flava_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhi_taxonomy b/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhi_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhi_taxonomy rename to _cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhi_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhimurium_taxonomy b/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhimurium_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhimurium_taxonomy rename to _cache/ncbi_taxonomy/Salmonella enterica subsp. enterica serovar Typhimurium_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella enterica typhimurium_taxonomy_NA b/_cache/ncbi_taxonomy/Salmonella enterica typhimurium_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Salmonella enterica typhimurium_taxonomy_NA rename to _cache/ncbi_taxonomy/Salmonella enterica typhimurium_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella enterica_taxonomy b/_cache/ncbi_taxonomy/Salmonella enterica_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Salmonella enterica_taxonomy rename to _cache/ncbi_taxonomy/Salmonella enterica_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella typhi_taxonomy_NA b/_cache/ncbi_taxonomy/Salmonella typhi_taxonomy_NA similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Salmonella typhi_taxonomy_NA rename to _cache/ncbi_taxonomy/Salmonella typhi_taxonomy_NA diff --git a/autopacmen/_cache/ncbi_taxonomy/Salmonella 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A1_taxonomy b/_cache/ncbi_taxonomy/Sphingomonas sp. A1_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Sphingomonas sp. A1_taxonomy rename to _cache/ncbi_taxonomy/Sphingomonas sp. 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aureus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Staphylococcus carnosus_taxonomy b/_cache/ncbi_taxonomy/Staphylococcus carnosus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Staphylococcus carnosus_taxonomy rename to _cache/ncbi_taxonomy/Staphylococcus carnosus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Staphylococcus epidermidis RP62A_taxonomy b/_cache/ncbi_taxonomy/Staphylococcus epidermidis RP62A_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Staphylococcus epidermidis RP62A_taxonomy rename to _cache/ncbi_taxonomy/Staphylococcus epidermidis RP62A_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Staphylococcus sp._taxonomy b/_cache/ncbi_taxonomy/Staphylococcus sp._taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Staphylococcus sp._taxonomy rename to _cache/ncbi_taxonomy/Staphylococcus sp._taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Staphylococcus virus 13_taxonomy 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similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces globisporus_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces globisporus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces griseochromogenes_taxonomy b/_cache/ncbi_taxonomy/Streptomyces griseochromogenes_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces griseochromogenes_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces griseochromogenes_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces griseus_taxonomy b/_cache/ncbi_taxonomy/Streptomyces griseus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces griseus_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces griseus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces lavendulae_taxonomy b/_cache/ncbi_taxonomy/Streptomyces lavendulae_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces lavendulae_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces lavendulae_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces lividans_taxonomy b/_cache/ncbi_taxonomy/Streptomyces lividans_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces lividans_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces lividans_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces pristinaespiralis_taxonomy b/_cache/ncbi_taxonomy/Streptomyces pristinaespiralis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces pristinaespiralis_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces pristinaespiralis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces rubiginosus_taxonomy b/_cache/ncbi_taxonomy/Streptomyces rubiginosus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces rubiginosus_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces rubiginosus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces seoulensis_taxonomy b/_cache/ncbi_taxonomy/Streptomyces seoulensis_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces seoulensis_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces seoulensis_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Streptomyces sp. R61_taxonomy b/_cache/ncbi_taxonomy/Streptomyces sp. R61_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Streptomyces sp. R61_taxonomy rename to _cache/ncbi_taxonomy/Streptomyces sp. 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a/autopacmen/_cache/ncbi_taxonomy/Sulfurisphaera tokodaii_taxonomy b/_cache/ncbi_taxonomy/Sulfurisphaera tokodaii_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Sulfurisphaera tokodaii_taxonomy rename to _cache/ncbi_taxonomy/Sulfurisphaera tokodaii_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Sus scrofa domesticus_taxonomy b/_cache/ncbi_taxonomy/Sus scrofa domesticus_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Sus scrofa domesticus_taxonomy rename to _cache/ncbi_taxonomy/Sus scrofa domesticus_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Sus scrofa_taxonomy b/_cache/ncbi_taxonomy/Sus scrofa_taxonomy similarity index 100% rename from autopacmen/_cache/ncbi_taxonomy/Sus scrofa_taxonomy rename to _cache/ncbi_taxonomy/Sus scrofa_taxonomy diff --git a/autopacmen/_cache/ncbi_taxonomy/Symbiobacterium thermophilum_taxonomy b/_cache/ncbi_taxonomy/Symbiobacterium thermophilum_taxonomy similarity index 100% rename from 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