Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
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Updated
Jul 4, 2023 - Python
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Toolbox for including enzyme constraints on a genome-scale model.
Enzyme-constrained genome-scale models in python
A constraint-based method for prediction of metabolic engineering targets using ecModels of metabolism
PRESTO: Correction of turnover numbers in enzyme-constraint metabolic models
Collection of scripts for enhancing humanGEM based models with kinetic and proteomics constraints and specialized simulation utilities.
KMG060 Systems Biology course - repo for students
Impose constraints on enzyme abundances ratios in enzyme-constraint metabolic models
GitHub repository to support the development of the thesis "Development of microbial community simulation methods to characterize and analyze the effects of metal concentrations on pathogen silencing/promotion".
Collection of scripts for reproduction of simulation results in "Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0".
Code and data for in silico strain design for enhanced production of +100 typical bio-products with yeast as a cell-factory. Predictions are based on the ecYeastGEM model avaiable at ecModels.
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