A quadratic programming approach for decomposing steady-state metabolic flux distributions onto elementary modes

Jean Marc Schwartz, Minoru Kanehisa

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Motivation: It is known that steady-state flux distributions in metabolic networks can be expressed as non-negative combinations of elementary modes. However, little understanding has been achieved so far in how individual elementary modes contribute to the reconstruction of actual physiological flux distributions. Results: We introduce an approach for decomposing steady-state flux distributions onto elementary modes based on quadratic programming. The decomposition is performed so as to favour modes that are closest to the actual state of the system, i.e. most relevant for biological interpretation. As an illustration, an application of this approach to a model of yeast glycolysis is presented. © The Author 2005. Published by Oxford University Press. All rights reserved.
    Original languageEnglish
    Pages (from-to)204-205
    Number of pages1
    JournalBioinformatics
    Volume21
    Issue number2
    DOIs
    Publication statusPublished - Sep 2005

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