<?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%">Luis Valencia-Cabrera</style></author><author><style face="normal" font="default" size="100%">Manuel García-Quismondo</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author><author><style face="normal" font="default" size="100%">Yansen Su</style></author><author><style face="normal" font="default" size="100%">Hui Yu</style></author><author><style face="normal" font="default" size="100%">Linqiang Pan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling Logic Gene Networks by Means of Probabilistic Dynamic P Systems</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Unconventional Computing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">gene</style></keyword><keyword><style  face="normal" font="default" size="100%">genetic network</style></keyword><keyword><style  face="normal" font="default" size="100%">logic network</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">P system</style></keyword><keyword><style  face="normal" font="default" size="100%">System biology</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.oldcitypublishing.com/IJUC/IJUCcontents/IJUCv9n5-6contents.html</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">5-6</style></number><publisher><style face="normal" font="default" size="100%">Old City Publishing Inc.</style></publisher><pub-location><style face="normal" font="default" size="100%">Philadelphia, USA</style></pub-location><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">445-464</style></pages><abstract><style face="normal" font="default" size="100%">Gene regulatory networks are useful models for biologists to understand the interactions among genes in living organisms. In this work, we consider a special class of gene regulatory networks, called logical networks, where the “links” among genes are inferred by logic analysis of phylogenetic profiles. We provide a formalization of logic networks, and introduce a membrane computing model for reconstructing logical networks and reproducing their dynamics. An example logical network is simulated by using software P-Lingua and MeCoSim. The simulation result shows that membrane computing is a versatile framework for modeling different biological scenarios.</style></abstract><issue><style face="normal" font="default" size="100%">5-6</style></issue><custom1><style face="normal" font="default" size="100%">0.431</style></custom1><custom2><style face="normal" font="default" size="100%">82/100 - Q4</style></custom2></record></records></xml>