Modeling gene regulatory networks using Petri Nets

Petri nets (PNs) are a qualitative approach to modeling the gene regulatory networks (GRNs) capable of characterising the dynamical properties of complex systems while also describing their structure with PN graphs. In this paper we show how to construct basic building blocks for GRNs using PNs. We present solutions to some of the known weaknesses of using conventional PNs for descrbing GRNs by using the Coloured Petri nets (CPNs), an extension of the ordinary PNs. We show that by using CPNs we can create building blocks with the dynamical properties of GRNs described more accurately. We also consider solving the problem of the undefined kinetic data by using the fuzzy logic methods.