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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Larhlimi, A., & Bockmayr, A. (2006). A new approach to flux coupling analysis of metabolic networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4216 LNBI, pp. 205–215). Springer Verlag. https://doi.org/10.1007/11875741_20
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