https://github.com/spherotob/gcopt

Determination of product-growth-coupled strain designs employing stoichiometric metabolic models.
https://github.com/spherotob/gcopt

constraint-based-modeling metabolic-engineering systems-biology

Last synced: about 1 month ago
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Determination of product-growth-coupled strain designs employing stoichiometric metabolic models.

• Host: GitHub
• URL: https://github.com/spherotob/gcopt
• Owner: Spherotob
• License: mit
• Created: 2018-01-26T10:44:33.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-11-21T15:20:54.000Z (almost 6 years ago)
• Last Synced: 2023-10-19T18:54:16.194Z (almost 2 years ago)
• Topics: constraint-based-modeling, metabolic-engineering, systems-biology
• Language: MATLAB
• Homepage:
• Size: 45.9 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# gcOpt

Determination of product-growth-coupled strain designs employing stoichiometric metabolic models.

For an introduction to gcOpt, open and run "gcOpt_Example.m".

Usage of Matlab 2016b (https://de.mathworks.com/products/matlab.html) or later versions as well as the gurobi 7 (www.gurobi.com/) solver are recommended.

COBRA toolbox is additionally needed (https://opencobra.github.io/cobratoolbox/stable/)

[![DOI](https://zenodo.org/badge/119040294.svg)](https://zenodo.org/badge/latestdoi/119040294)

The content of this repository is licensed under a MIT License.

For a detailed description of the algorithm refer to the corresponding publication:


Determination of growth-coupling strategies and their underlying principles


Alter, T. B.; Ebert, B. E.


BMC Bioinformatics


https://doi.org/10.1186/s12859-019-2946-7