Fast-SL is an efficient algorithm to identify synthetic lethal gene/reaction sets in genome-scale metabolic models.
To perform synthetic lethality analysis using Fast-SL the following tools are needed:
- COBRA Toolbox
- A linear programming (LP) solver such as Gurobi, GLPK etc.
- CPLEX v12.0 or higher for the parallel version of Fast-SL. For the serial version of Fast-SL, any COBRA-supported solver can be used. CPLEX is available free for academics from IBM
If you use Fast-SL in your work, please cite
Aditya Pratapa, Shankar Balachandran and Karthik Raman (2015) "Fast-SL: An efficient algorithm to identify synthetic lethal sets in metabolic networks" Bioinformatics 31:3299–3305 doi:10.1093/bioinformatics/btv352
'Eco_iAF1260.mat' :: SBML model of Escherichia coli - iAF1260 used for analysis
'eliList_eco_iAF1260.mat' :: List of reactions eliminated for lethality analysis- Exchange, ATPM etc
'Mtu_iNJ661.mat' :: SBML model of Mycobacterium Tuberculosis used for analysis
'eliList_mtu_iNJ661.mat' :: List of reactions eliminated for lethality analysis
'STM_v1.0.mat' :: SBML model of Salmonella Typhimurium used for analysis
'eliList_sty_STM_v1.0.mat' :: List of reactions eliminated for lethality analysis
Reaction and Gene lethals for the models used
>>help fastSL
fastSL(model,cutoff,order,eliList,atpm)
INPUT
model (the following fields are required - others can be supplied)
S Stoichiometric matrix
b Right hand side = dx/dt
c Objective coefficients
lb Lower bounds
ub Upper bounds
rxns Reaction Names
OPTIONAL
cutoff cutoff percentage value for lethality.Default is 0.01.
order Order of SLs required.Default order is 2. Max value 3.
eliList List of reactions to be ignored for lethality
analysis:Exchange Reactions, ATPM etc.
atpm ATPM Reaction Id in model.rxns if other than 'ATPM'
OUTPUT
A 'modelname_Rxn_Lethals.mat' file containing all the lethal reaction sets of the order specified
>>example_fastSL
>>example_fastSLgenes
- High Performance Computing Environment, P G Senapathy Centre for Computing Resources, IIT Madras
- Grant BT/PR4949/BRB/10/1048/2012 from the Department of Biotechnology, Government of India.
- Initiative for Biological Systems Engineering
- Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI)