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Log-gain Principles for Metabolic P Systems

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Book cover Algorithmic Bioprocesses

Part of the book series: Natural Computing Series ((NCS))

Abstract

Metabolic P systems, shortly MP systems, are a special class of P systems, introduced for expressing biological metabolism. Their dynamics are computed by metabolic algorithms which transform populations of objects according to a mass partition principle, based on suitable generalizations of chemical laws. In this paper, the basic principles of MP systems are formulated for introducing the Log-gain principles, and it is shown how to use them for constructing MP models from experimental data of given metabolic processes.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Strada Le Grazie, 15-37134, Verona, Italy

    Vincenzo Manca

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  1. Vincenzo Manca
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Correspondence to Vincenzo Manca .

Editor information

Editors and Affiliations

  1. Dept. Computer Science, University of British Columbia, Main Mall 201-2366, Vancouver, V6T 1Z4, Canada

    Anne Condon

  2. Dept. Applied Mathematics, Weizmann Institute of Science, Rehovot, 76100, Israel

    David Harel

  3. Leiden Inst. Advanced Computer Science, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Joost N. Kok

  4. Turku Centre for Computer Science, Lemminkaisenkatu 14 A, Turku, 20520, Finland

    Arto Salomaa

  5. Computer Science, Computation,, California Inst. of Technology, Pasadena, 91125, U.S.A.

    Erik Winfree

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Manca, V. (2009). Log-gain Principles for Metabolic P Systems. In: Condon, A., Harel, D., Kok, J., Salomaa, A., Winfree, E. (eds) Algorithmic Bioprocesses. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88869-7_28

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  • DOI: https://doi.org/10.1007/978-3-540-88869-7_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88868-0

  • Online ISBN: 978-3-540-88869-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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