Insights into the organization of biochemical regulatory networks using graph theory analyses.

ABSTRACT: Graph theory has been a valuable mathematical modeling tool to gain insights into the topological organization of biochemical networks. There are two types of insights that may be obtained by graph theory analyses. The first provides an overview of the global organization of biochemical networks; the second uses prior knowledge to place results from multivariate experiments, such as microarray data sets, in the context of known pathways and networks to infer regulation. Using graph analyses, biochemical networks are found to be scale-free and small-world, indicating that these networks contain hubs, which are proteins that interact with many other molecules. These hubs may interact with many different types of proteins at the same time and location or at different times and locations, resu

SUBMITTER: Ma'ayan A 

PROVIDER: S-EPMC2645810 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature