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Bioinformatics 2005 21(Suppl 2):ii204-ii205; doi:10.1093/bioinformatics/bti1132
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oxfordjournals.org

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

Jean-Marc Schwartz * and Minoru Kanehisa

Bioinformatics Center, Institute for Chemical Research, Kyoto University Uji, Kyoto 611-0011, Japan

*To whom correspondence should be addressed.

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.

Availability: Software is available upon request from the authors.

Contact: jean{at}kuicr.kyoto-u.ac.jp


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