<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luca Bianco</style></author><author><style face="normal" font="default" size="100%">Dario Pescini</style></author><author><style face="normal" font="default" size="100%">Peter Siepmann</style></author><author><style face="normal" font="default" size="100%">Natalio Krasnogor</style></author><author><style face="normal" font="default" size="100%">Francisco J. Romero-Campero</style></author><author><style face="normal" font="default" size="100%">Marian Gheorghe</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards a P Systems Pseudomonas Quorum Sensing Model </style></title><secondary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/index/e2067418146143k2.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Amsterdam, The Netherlands</style></pub-location><volume><style face="normal" font="default" size="100%">4361</style></volume><pages><style face="normal" font="default" size="100%">197-214</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-69088-7</style></isbn><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>