The GECKO toolbox is a Matlab/Python package for enhancing a Genome-scale model to account for Enzyme Constraints, using Kinetics and Omics. It is the companion software to the following publication:
Benjamin J. Sanchez, Cheng Zhang, Avlant Nilsson, Petri-Jaan Lahtvee, Eduard J. Kerkhoven, Jens Nielsen (2017). Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints. Molecular Systems Biology, 13(8): 935 (http://www.dx.doi.org/10.15252/msb.20167411)
GECKO was programmed by Benjamin J. Sanchez (@BenjaSanchez), Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology, and Cheng Zhang, Science for Life Laboratory, KTH - Royal Institute of Technology.
Last update: 2017-09-11
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- Python 2.7.X (https://www.python.org/)
- setuptools for python 2.7.X (http://www.lfd.uci.edu/~gohlke/pythonlibs/#setuptools)
- SOAPpy: for this, open command promt as admin, and then type: > cd C:\Python27\Scripts > easy_install-2.7 SOAPpy
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- MATLAB (7.5 or higher) + Optimization Toolbox (http://www.mathworks.com/).
- The COBRA toolbox for MATLAB (https://github.com/opencobra/cobratoolbox). Note that libSBML (http://sbml.org/Software/libSBML) and the SBML toolbox (http://sbml.org/Software/SBMLToolbox) should both be installed. Both of them are free of charge for academic users. Aditionally, you should add the cobra folder to your MATLAB search path.
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