Fuzzy Petri Nets for Modeling and Simulation of Genetic Regulatory Network

A R T I C L E I N F O A B S T R A C T Genetic Regulatory Network (GRN) is the model that represents the interac- tion of genome and the external stimulus. Modeling Genetic Regulatory Net- work can be an excellent methodology to simulate the genetic interaction pattern. This helps to predict and analyze the cellular process. Since the Ge- netic Regulatory Mechanism is complex and understanding the whole pro- cess is time consuming, it is not possible to build an absolute mathematical model. The advancement of cDNA micro array technology ensures the pos- sibility of understanding the gene regulation mechanism. Human expertise can be used to predict and explain the gene regulation mechanism based on cDNA micro array data. This human knowledge and expertise can be mod- eled using fuzzy GRN Petrinet computational technique. Based on the above implement methods, the present paper stressed the theory, methods of execu- tion for the development of a software tool to simulate a genetic regulatory network.

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