Systems analyses characterize integrated functions of biochemical networks.

TitleSystems analyses characterize integrated functions of biochemical networks.
Publication TypeJournal Article
Year of Publication2006
AuthorsGianchandani EP, Brautigan DL, Papin JA
JournalTrends Biochem Sci
Volume31
Issue5
Pagination284-91
Date Published2006 May
ISSN0968-0004
KeywordsBiochemistry, Computational Biology, Computer Simulation, Models, Biological, Models, Statistical, Neural Networks (Computer), Protein Interaction Mapping, Signal Transduction, Systems Analysis
Abstract

Metabolic, regulatory and signaling pathways have been characterized in detail over the past century. As the amount of genomic, proteomic and metabolic data has increased, and the mathematical and analytical capabilities of interrogating these data have advanced, the overlapping roles of pathway constituents have been described. These developments reflect the truly integrated nature of subcellular biochemical networks. Systems analyses, including the reconstruction of stoichiometric networks, provide a key set of tools for quantifying overlap among the metabolic, regulatory and signaling functions of network components. Accounting for this integration is crucial for accurately describing the function of biochemical networks.

DOI10.1016/j.tibs.2006.03.007
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/16616498?dopt=Abstract
Alternate JournalTrends Biochem. Sci.
PubMed ID16616498