Towards a p systems pseudomonas quorum sensing model

Authors:
Luca Bianco;Dario Pescini;Peter Siepmann;Natalio Krasnogor;Francisco J. Romero-Campero;Marian Gheorghe
Affiliations:
Department of Computer Science, University of Verona, Verona, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milano, Italy;School of Computer Science and Information Technology, University of Nottingham, Nottingham, UK;School of Computer Science and Information Technology, University of Nottingham, Nottingham, UK;Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla, Spain;Department of Computer Science, The University of Sheffield, Sheffield, UK
Venue:
WMC'06 Proceedings of the 7th international conference on Membrane Computing
Year:
2006

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Abstract

Pseudomonas aeruginosa is an opportunistic bacterium that exploits quorum sensing communication to synchronize individuals in a colony and this leads to an increase in the effectiveness of its virulence. In this paper we derived a mechanistic P systems model to describe the behavior of a single bacterium and we discuss a possible approach, based on an evolutionary algorithm, to tune its parameters that will allow a quantitative simulation of the system.