Complex networks theory for analyzing metabolic networks
Jing Zhao, Hong Yu, Jianhua Luo, Z. W. Cao, Yi-Xue Li
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.
Create a lesson
Related papers
Systematic pathway comparison on the powerset of rule-based biochemical systems
Anne-Susann Abel, Sissel Banke, Erika M. Herrera Machado et al.
Uncovering Cellular Resolution in scRNAseq via Unbiased Cell and Gene Network Analysis
Olga lanzetta, Luisa Cutillo, Bailey Andrew et al.
DigiPhen: a new paradigm for building predictive models of biological systems
H. Steven Wiley, Angela Cintolesi, Niaz Bahar Chowdhury et al.
Motional Degrees of Freedom in Network Hamiltonian Models
Peng Huang, Elizabeth M. Diessner, Carter T. Butts
Metabolic Network Properties: Comprehensive Analysis Across Domains
José Antônio Pellizzaro, Daniel Gamermann, Julian Triana Dopico
Reducing Boolean Networks via Analysis of Dynamic Network Subgraph Behavior
Soodabeh Zakeri, Mohieddin Jafari