Complex networks theory for analyzing metabolic networks

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.

13 pages, 2 figures

References in corpus (8)

• Emergence of scaling in random networks
• Error and attack tolerance of complex networks
• Hierarchical organization of modularity in metabolic networks
• The large-scale organization of metabolic networks
• Functional cartography of complex metabolic networks
• Mixing patterns in networks
• Hierarchical Organization in Complex Networks
• Subnetwork hierarchies of biochemical pathways

Cited by in corpus (7)

• Exploring the assortativity-clustering space of a network's degree sequence
• Detecting degree symmetries in networks
• The effects of degree correlations on network topologies and robustness
• Substance graphs are optimal simple-graph representations of metabolism
• Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks
• Signatures of currency vertices
• Comment on "Regularizing capacity of metabolic networks"