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BMCBI
2011

FFCA: a feasibility-based method for flux coupling analysis of metabolic networks

10 years 3 months ago
FFCA: a feasibility-based method for flux coupling analysis of metabolic networks
Background: Flux coupling analysis (FCA) is a useful method for finding dependencies between fluxes of a metabolic network at steady-state. FCA classifies reactions into subsets (called coupled reaction sets) in which activity of one reaction implies activity of another reaction. Several approaches for FCA have been proposed in the literature. Results: We introduce a new FCA algorithm, FFCA (Feasibility-based Flux Coupling Analysis), which is based on checking the feasibility of a system of linear inequalities. We show on a set of benchmarks that for genome-scale networks FFCA is faster than other existing FCA methods. Conclusions: We present FFCA as a new method for flux coupling analysis and prove it to be faster than existing approaches. A corresponding software tool is freely available for non-commercial use at http://www.bioinformatics. org/ffca/. Background Constraint-based analysis of metabolic networks has become increasingly important for describing and predicting the behavio...
László Dávid, Sayed-Amir Mara
Added 24 Aug 2011
Updated 24 Aug 2011
Type Journal
Year 2011
Where BMCBI
Authors László Dávid, Sayed-Amir Marashi, Abdelhalim Larhlimi, Bettina Mieth, Alexander Bockmayr
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