Computational approaches for analyzing information flow in biological networks.

TitleComputational approaches for analyzing information flow in biological networks.
Publication TypeJournal Article
Year of Publication2012
AuthorsKholodenko, B, Yaffe, MB, Kolch, W
JournalSci Signal
Date Published2012 Apr 17
KeywordsComputational Biology, Computer Simulation, Proteomics, Signal Transduction, Systems Biology

The advancements in "omics" (proteomics, genomics, lipidomics, and metabolomics) technologies have yielded large inventories of genes, transcripts, proteins, and metabolites. The challenge is to find out how these entities work together to regulate the processes by which cells respond to external and internal signals. Mathematical and computational modeling of signaling networks has a key role in this task, and network analysis provides insights into biological systems and has applications for medicine. Here, we review experimental and theoretical progress and future challenges toward this goal. We focus on how networks are reconstructed from data, how these networks are structured to control the flow of biological information, and how the design features of the networks specify biological decisions.

Alternate JournalSci Signal
PubMed ID22510471
Grant ListCA112967 / CA / NCI NIH HHS / United States
ES015339 / ES / NIEHS NIH HHS / United States
GM68762 / GM / NIGMS NIH HHS / United States