DYNAMIC ANALYSIS OF BIOCHEMICAL NETWORK USING COMPLEX NETWORK METHOD

In this study, the stochastic biochemical reaction model is proposed based on the law of mass action and complex network theory. The dynamics of biochemical reaction system is presented as a set of non-linear differential equations and ana-lyzed at the molecular-scale. Given the initial state and the evolution rules of the biochemical reaction system, the system can achieve homeostasis. Compared with random graph, the biochemical reaction network has larger information ca-pacity and is more efficient in information transmission. This is consistent with theory of evolution