Chinese Science Bulletin

, Volume 51, Issue 13, pp 1529–1537

Complex networks theory for analyzing metabolic networks

Authors

  • Zhao Jing 
    • Department of Biomedical EngineeringShanghai Jiao Tong University
    • Shanghai Center for Bioinformation and Technology
    • Department of mathematicsLogistical Engineering University
  • Yu Hong 
    • Shanghai Center for Bioinformation and Technology
  • Luo Jianhua 
    • Department of Biomedical EngineeringShanghai Jiao Tong University
    • Shanghai Center for Bioinformation and Technology
    • Department of Biomedical EngineeringShanghai Jiao Tong University
    • Shanghai Center for Bioinformation and Technology
    • Shanghai Institutes for Biological SciencesChinese Academy of Sciences
Review

DOI: 10.1007/s11434-006-2015-2

Cite this article as:
Zhao, J., Yu, H., Luo, J. et al. CHINESE SCI BULL (2006) 51: 1529. doi:10.1007/s11434-006-2015-2

Abstract

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.

Keywords

bioinformaticssystems biologymetabolic networknetwork topologynetwork decompositionnetwork robustness

Copyright information

© Science in China Press 2006