Hierarchical thinking in network biology: the unbiased modularization of biochemical networks.

TitleHierarchical thinking in network biology: the unbiased modularization of biochemical networks.
Publication TypeJournal Article
Year of Publication2004
AuthorsPapin JA, Reed JL, Palsson BO
JournalTrends Biochem Sci
Volume29
Issue12
Pagination641-7
Date Published2004 Dec
ISSN0968-0004
KeywordsAnimals, Biochemistry, Computational Biology, Humans, Metabolism, Models, Biological, Proteins, Signal Transduction
Abstract

As reconstructed biochemical reaction networks continue to grow in size and scope, there is a growing need to describe the functional modules within them. Such modules facilitate the study of biological processes by deconstructing complex biological networks into conceptually simple entities. The definition of network modules is often based on intuitive reasoning. As an alternative, methods are being developed for defining biochemical network modules in an unbiased fashion. These unbiased network modules are mathematically derived from the structure of the whole network under consideration.

DOI10.1016/j.tibs.2004.10.001
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/15544950?dopt=Abstract
Alternate JournalTrends Biochem. Sci.
PubMed ID15544950