A Python Library for modeling combinatorial constrained problems
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Updated
May 31, 2024 - Python
A Python Library for modeling combinatorial constrained problems
The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.
This repository contains all changes made to the strain specific models of Corynebacterium striatum.
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
CBMPy is a Python based platform for constraint based modelling and analysis.
An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!
Metabolic Drug Repurposing Pipeline
Models (and data) of constrained problems developped with the library PyCSP3
pymCADRE enables the reconstruction of tissue-specific metabolic models in Python using transcriptomic data and information of the network topology.
diversity-based enumeration of optimal context-specific metabolic networks using the cobrapy library
Repository of a genome-scale metabolic model for Saccharomyces cerevisiae
Repository of tutorials for The COBRA Toolbox
Constraint-Based Reconstruction and EXascale Analysis
Visualization of metabolic models in Makie.
A lightweight interface to eQuilibrator and equilibrator_api through Julia.
A coarse-grained biochemical resource allocation model of phototrophic growth.
Constraint-based modeling of photorespiratory mutants using metabolomics in TMFA
Impose constraints on enzyme abundances ratios in enzyme-constraint metabolic models
The Systems Biology Simulation Core Library (SBSCL) provides an efficient and exhaustive Java implementation of methods to interpret the content of models encoded in the Systems Biology Markup Language (SBML) and its numerical solution.
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