An environment aware p-system model of quorum sensing

Authors:
German Terrazas;Natalio Krasnogor;Marian Gheorghe;Francesco Bernardini;Steve Diggle;Miguel Cámara
Affiliations:
ASAP Group, School of Computer Science and IT, University of Nottingham, UK;ASAP Group, School of Computer Science and IT, University of Nottingham, UK;Department of Computer Science, University of Sheffield, UK;Department of Computer Science, University of Sheffield, UK;Molecular Medical Sciences, Institute of Infection, Immunity and Inflamation, University of Nottingham, UK;Molecular Medical Sciences, Institute of Infection, Immunity and Inflamation, University of Nottingham, UK
Venue:
CiE'05 Proceedings of the First international conference on Computability in Europe: new Computational Paradigms
Year:
2005

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Abstract

“Quorum Sensing” has been identified as one of the most consequential microbiology discoveries of the last 10 years. Using Quorum Sensing bacterial colonies synchronize gene expression and phenotype change allowing them, among other things, to protect their niche, coordinate host invasion and bio-film formation. In this contribution we briefly describe the elementary microbiology background and present a P-systems based model for Quorum Sensing which includes environmental rules and a topological representation.