TY - JOUR
TI - DYNAMIC ANALYSIS OF BIOCHEMICAL NETWORK USING COMPLEX NETWORK METHOD
AU - Wang Shuqiang
AU - Shen Yanyan
AU - Hu Jinxing
AU - Li Ning
AU - Zeng Dewei
JN - Thermal Science
PY - 2015
VL - 19
IS - 4
SP - 1249
EP - 1253
PT - Article
AB - 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 analyzed 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 capacity and is more efficient in information transmission. This is consistent with theory of evolution.