<?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%">Francisco J. Romero-Campero</style></author><author><style face="normal" font="default" size="100%">Natalio Krasnogor</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Klaus Ambos-Spies</style></author><author><style face="normal" font="default" size="100%">Benedikt Löwe</style></author><author><style face="normal" font="default" size="100%">Wolfgang Merkle</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">An Approach to the Engineering of Cellular Models Based on P Systems</style></title><secondary-title><style face="normal" font="default" size="100%">5th Conference on Computability in Europe, CiE 2009</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">19/07/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/l175644g32973123/</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://cantor.cs.us.es/files/engineering_of_cellular_models.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Berlin / Heidelberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Heidelberg, Germany</style></pub-location><volume><style face="normal" font="default" size="100%">5635</style></volume><pages><style face="normal" font="default" size="100%">430-436</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-03072-7</style></isbn><abstract><style face="normal" font="default" size="100%">Living cells assembled into colonies or tissues communicate using complex systems. These systems consist in the interaction between many molecular species distributed over many compartments. Among the different cellular processes used by cells to monitor their environment and respond accordingly, gene regulatory networks, rather than individual genes, are responsible for the information processing and orchestration of the appropriate response.
In this respect, synthetic biology has emerged recently as a novel discipline aiming at unravelling the design principles in gene regulatory systems by synthetically engineering transcriptional networks which perform a specific and prefixed task. Formal modelling and analysis are key methodologies used in the field to engineer, assess and compare different genetic designs or devices.</style></abstract></record></records></xml>