Flux coupling finder

General concept

For every reaction pair, the upper and lower bounds of flux ratios are determined then used to categorize each pair as not coupled, directionally coupled, partially coupled, or fully coupled.

Items to consider when implementing

Software packages with this method

Larhlimi et al. (2012), presented an algorithmic improvement of flux coupling analysis called F2C2, which sped up the analysis.

Applications of interest

Marashi et al. (2011) demonstrated that flux coupling results are sensitive to changes in the metabolic network topology.

Relevant references

Burgard AP, Nikolaev EV, Schilling CH, Maranas CD. Flux coupling analysis of genome-scale metabolic network reconstructions. Genome Res. 2004 Feb;14(2):301-12.

Larhlimi A, David L, Selbig J, Bockmayr A. F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks. BMC Bioinformatics. 2012 Apr 23;13(1):57.

Marashi SA, Bockmayr A. Flux coupling analysis of metabolic networks is sensitive to missing reactions. Biosystems. 2011 Jan;103(1):57-66.

David L, Marashi SA, Larhlimi A, Mieth B, Bockmayr A. FFCA: a feasibility-based method for flux coupling analysis of metabolic networks. BMC Bioinformatics. 2011 Jun 15;12:236.

Related methods

Feasibility-based Flux Coupling Analysis (FFCA)

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