Complex networks theory for analyzing metabolic networks

被引:17
|
作者
Jinq, Zhao
Hong, Yu
Jianhua, Luo
Cao, Z. W. [1 ]
Li, Yixue
机构
[1] Chinese Acad Sci, SHanghai Inst Biol Sci, Shanghai 200235, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Biomed Engn, Shanghai 200240, Peoples R China
[3] Shanghai Ctr Bioinformat & Technol, Shanghai 200235, Peoples R China
[4] Logist Engn Univ, Dept Math, Chongqing 400016, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2006年 / 51卷 / 13期
基金
中国国家自然科学基金;
关键词
bioinformatics; systems biology; metabolic network; network topology; network decomposition; network robustness;
D O I
10.1007/s11434-006-2015-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:1529 / 1537
页数:9
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