P systems, a new computational modelling tool for Systems Biology

TitleP systems, a new computational modelling tool for Systems Biology
Publication TypeJournal Papers
Year of Publication2006
AuthorsPérez-Jiménez, M. J., & Romero-Campero F. J.
Journal TitleLecture Notes in Computer Science
ISBN Number978-3-540-45779-4
PublisherSpringer
Place PublishedAmsterdam, The Netherlands
Volume4220
Pages176-197
Abstract

In this paper we present P systems as a reliable computational modelling tool for Systems Biology that takes into account the discrete character of the quantity of components of biological systems, the inherently randomness in biological phenomena and the key role played by membranes in the functioning of living cells. We will introduce two different strategies for the evolution of P systems, namely, Multi-compartmental Gillespie’s Algorithm based on the well known Gillespie’s Algorithm but running on more than one compartment; and Deterministic Waiting Times Algorithm, an exact deterministic method. In order to illustrate these two strategies we have modelled two biological systems: the EGFR Signalling Cascade and the Quorum Sensing System in the bacterium Vibrio Fischeri. Our simulations results show that for the former system a deterministic approach is valid whereas for the latter a stochastic approach like Multi-compartmental Gillespie’s Algorithm is necessary.

URLhttp://www.springerlink.com/content/rr06k8520467m377/
ISSN Number0302-9743
DOI10.1007/11880646