Theory of linear and integer programming
Theory of linear and integer programming
Double Description Method Revisited
Selected papers from the 8th Franco-Japanese and 4th Franco-Chinese Conference on Combinatorics and Computer Science
On Inner and Outer Descriptions of the Steady-State Flux Cone of a Metabolic Network
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
Modeling of the U1 snRNP assembly pathway in alternative splicing in human cells using Petri nets
Computational Biology and Chemistry
A new constraint-based description of the steady-state flux cone of metabolic networks
Discrete Applied Mathematics
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Flux coupling analysis is a method to identify blocked and coupled reactions in a metabolic network at steady state. We present a new approach to flux coupling analysis, which uses a minimum set of generators of the steady state flux cone. Our method does not require to reconfigure the network by splitting reversible reactions into forward and backward reactions. By distinguishing different types of reactions (irreversible, pseudo-irreversible, fully reversible), we show that reaction coupling relationships can only hold between certain reaction types. Based on this mathematical analysis, we propose a new algorithm for flux coupling analysis.