Complex networks theory for analyzing metabolic networks  

作　　者：ZHAO Jing YU Hong LUO Jianhua CAO Z. W. LI Yixue 

机构地区：[1]Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China [2]Shanghai Center for Bioinformation and Technology, Shanghai 200235, China [3]Shanghai Institutes for Biological Sciences, Chinese Academy ofSciences, Shanghai 200031, China [4]Department of mathematics, Logistical Engineering University,Chongqing 400016, China

出　　处：《Chinese Science Bulletin》2006年第13期1529-1537,共9页

基　　金：supported by the National Science and Technology Key Programs of China(Grant No.2004BA711A21);the State Key Program of Basic Research of China(Grant No.2004CB720103);the National Natural Science Foundation of China(Grant No.30500107);the Key Program of Basic Research of Shanghai(Grant Nos.04QMX1450,04DZ19850&04DZ14005).

摘　　要：One of the main tasks of post-genomic informatics is to systematically investigate all mole- cules and their interactions within a living cell so as to understand how these molecules and the interactions between them relate to the function of the organism, while networks are appropriate abstract description of all kinds of interactions. In the past few years, great achievement has been made in developing theory of complex networks for revealing the organizing prin- ciples that govern the formation and evolution of various complex biological, technological and social networks. This paper reviews the accomplishments in constructing genome-based metabolic networks and describes how the theory of complex networks is applied to analyze metabolic networks.One of the main tasks of post-genomic informatics is to systematically investigate all molecules and their interactions within a living cell so as to understand how these molecules and the interactions between them relate to the function of the organism, while networks are appropriate abstract description of all kinds of interactions. In the past few years, great achievement has been made in developing theory of complex networks for revealing the organizing principles that govern the formation and evolution of various complex biological, technological and social networks. This paper reviews the accomplishments in constructing genome-based metabolic networks and describes how the theory of complex networks is applied to analyze metabolic networks.

关 键 词：生物信息学 系统生物学 代谢网络 网络拓扑 网络负载 

分 类 号：Q811.4[生物学—生物工程]