Chapter of Book
On P Systems as a Modelling Tool for Biological Systems
Author/s | Bernardini, Francesco
Gheorghe, Marian Krasnogor, Natalio Muniyandi, Ravie C. Pérez Jiménez, Mario de Jesús Romero Campero, Francisco José |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2006 |
Deposit Date | 2017-02-01 |
Published in |
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ISBN/ISSN | 978-3-540-30948-2 0302-9743 |
Abstract | We introduce a variant of P systems where rules have associated
a real number providing a measure for the “intrinsic reactivity”of
the rule and roughly corresponding to the kinetic coefficient which, in
bio-chemistry, ... We introduce a variant of P systems where rules have associated a real number providing a measure for the “intrinsic reactivity”of the rule and roughly corresponding to the kinetic coefficient which, in bio-chemistry, is usually associated to each molecular reaction. The behaviour of these P systems is then defined according to a strategy which, in each step, randomly selects the next rule to be applied depending upon a certain distribution of probabilities. As an application, we present a P system model of the quorum sensing regulatory networks of the bacterium Vibrio Fischeri. In this respect, a formalisation of the network in terms of P systems is provided and some simulation results concerning the behaviour of a colony of such bacteria are reported. We also briefly describe the implementation techniques adopted by pointing out the generality of our approach which appears to be fairly independent from the particular choice of P system variant and the language used to implement it. |
Funding agencies | Ministerio de Ciencia y Tecnología (MCYT). España |
Project ID. | TIC2002-04220-C03-01 |
Citation | Bernardini, F., Gheorghe, M.,...,Romero Campero, F.J. (2006). On P Systems as a Modelling Tool for Biological Systems. En Membrane Computing 6th International Workshop, WMC 2005, Vienna, Austria, July 18-21, 2005, Revised Selected and Invited Papers. Lecture Notes in Computer Science Volume 3850 (pp. 114-133). Berlin: Springer. |
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