Qualitative and Thermodynamic Flux Coupling Analysis

Please always quote using this URN: urn:nbn:de:0296-matheon-12801
  • Flux coupling analysis (FCA) has become a useful tool for aiding metabolic reconstructions and guiding genetic manipulations. Originally, it was introduced for constraint-based models of metabolic networks that are based on the steady-state assumption. Recently, we have shown that the steady-state assumption can be replaced by a much weaker lattice-theoretic property related to the supports of metabolic fluxes. In this paper, we further extend our approach and delevelop an efficient algorithm for general qualitative flux coupling analysis (QFCA). We illustrate our method by thermodynamic flux coupling analysis (tFCA), which allows studying steady-state metabolic models with loop-law thermodynamic constraints. These models do not satisfy the lattice-theoretic properties required in our previous work. For a selection of genome-scale metabolic network reconstructions, we discuss both theoretically and practically, how thermodynamic constraints strengthen the coupling results that can be obtained with classical FCA.

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Author:Arne C. Reimers, Yaron A. B. Goldstein, Alexander Bockmayr
Referee:Peter Deuflhard
Date of first Publication:2014/03/28
Institute:Research Center Matheon
Freie Universit├Ąt Berlin
MSC-Classification:92-XX BIOLOGY AND OTHER NATURAL SCIENCES / 92Cxx Physiological, cellular and medical topics / 92C42 Systems biology, networks
Preprint Number:1054