TY  - GEN
A1  - Larhlimi, Abdelhalim
A1  - David, Laszlo
A1  - Selbig, Joachim
A1  - Bockmayr, Alexander
T1  - F2C2
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Background: Flux coupling analysis (FCA) has become a useful tool in the constraint-based analysis of genome-scale metabolic networks. FCA allows detecting dependencies between reaction fluxes of metabolic networks at steady-state. On the one hand, this can help in the curation of reconstructed metabolic networks by verifying whether the coupling between reactions is in agreement with the experimental findings. On the other hand, FCA can aid in defining intervention strategies to knock out target reactions.

Results: We present a new method F2C2 for FCA, which is orders of magnitude faster than previous approaches. As a consequence, FCA of genome-scale metabolic networks can now be performed in a routine manner.

Conclusions: We propose F2C2 as a fast tool for the computation of flux coupling in genome-scale metabolic networks. F2C2 is freely available for non-commercial use at https://sourceforge.net/projects/f2c2/files/.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 921 
KW  - balance analysis
KW  - reconstruction
KW  - pathways
KW  - models
KW  - metabolic network
KW  - couple reaction
KW  - reversible reaction
KW  - linear programming problem
KW  - coupling relationship
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/43243
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-432431
SN  - 1866-8372
IS  - 921
ER  -