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Perturbing Thermodynamically Unfeasible Metabolic Networks

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Advances in Bioinformatics and Computational Biology (BSB 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3594))

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Abstract

Reactions within the cell should satisfy the law of mass conservation and the second law of thermodynamics. Networks of reactions violating any of these laws are unphysical and cannot occur in nature. In this paper we describe a technique that perturbs an unfeasible network to produce a metabolic network that satisfies the two fundamental laws. This algorithm has been applied to study the metabolic pathways of E. coli.

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Author information

Authors and Affiliations

  1. W.W. Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA, 94305-4085, USA

    R. Nigam

  2. Department of Biostatistics and Applied Mathematics, The University of Texas M.D Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA

    S. Liang

Authors
  1. R. Nigam
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  2. S. Liang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Virginia Bioinformatics Institute and Virginia Polytechnic Institute and State University, Bioinformatics 1, Box 0477, 24060-0477, Blacksburg, VA, USA

    João Carlos Setubal

  2. Instituto de Quimica, Departamento de Bioquimica, Universidade de Sao Paulo, Av. Prof. Lineu Prestes 748, 05508-000, Sao Paulo, SP, Brazil

    Sergio Verjovski-Almeida

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© 2005 Springer-Verlag Berlin Heidelberg

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Nigam, R., Liang, S. (2005). Perturbing Thermodynamically Unfeasible Metabolic Networks. In: Setubal, J.C., Verjovski-Almeida, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2005. Lecture Notes in Computer Science(), vol 3594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11532323_5

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  • DOI: https://doi.org/10.1007/11532323_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28008-8

  • Online ISBN: 978-3-540-31861-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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