title: Petri net modelling of biological networks.
abstract: Mathematical modelling is increasingly used to get insights into the functioning of complex biological networks. In this context, Petri nets (PNs) have recently emerged as a promising tool among the various methods employed for the modelling and analysis of molecular networks. PNs come with a series of extensions, which allow different abstraction levels, from purely qualitative to more complex quantitative models. Noteworthily, each of these models preserves the underlying graph, which depicts the interactions between the biological components. This article intends to present the basics of the approach and to foster the potential role PNs could play in the development of the computational systems biology.
authors.affiliation: TAGC, INSERM ERM, 206, Université de la Méditerranée, Campus Scientifique de Luminy - Case 928, 13288 Marseille Cedex 09, France. chaouiya@univmed.fr
authors.forename: Claudine
authors.initials: C
authors.lastname: Chaouiya
mesh_terms: D000818:Animals; D029721:Drosophila Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D008957:Models, Genetic; D015398:Signal Transduction / Q000235:genetics*; D049490:Systems Biology / Q000379:methods*
chemical_list: D029721:Drosophila Proteins