Colored petri nets to model gene mutation classification

The genetic code is the triplet code based on the three-letter codons. Choosing a feasible model for processing these codons is a useful method to study genetic processes in molecular biology. As an effective model of discrete event dynamic systems (DEDS), Colored Petri Net (CPN) has been used for modeling several biological systems. According to the genetic code table, CPN is employed to model the process of genetic information transmission. In this paper, we propose a CPN model to classify the type of gene mutations via contrasting the bases of DNA strands and the codons of amino acids along the polypeptide chain. This model is helpful in determining whether a certain gene mutation will cause the changes of the structures and functions of protein molecules. The effectiveness and accuracy of the presented model are illustrated by the examples in this paper.