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PMID: 20836022 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Computational modeling of mammalian signaling networks.

Wiley interdisciplinary reviews. Systems biology and medicine ·Vol. 2 ·No. 2 ·2010-00-00 ·Pages 194-209

Hughey JJ, Lee TK, Covert MW

Abstract

One of the most exciting developments in signal transduction research has been the proliferation of studies in which a biological discovery was initiated by computational modeling. In this study, we review the major efforts that enable such studies. First, we describe the experimental technologies that are generally used to identify the molecular components and interactions in, and dynamic behavior exhibited by, a network of interest. Next, we review the mathematical approaches that are used to model signaling network behavior. Finally, we focus on three specific instances of 'model-driven discovery': cases in which computational modeling of a signaling network has led to new insights that have been verified experimentally.

MeSH Terms
Animals Computer Simulation Mammals/genetics,metabolism Models, Theoretical Research Signal Transduction/physiology
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Hughey Jacob J
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Lee Timothy K
Department of Bioengineering, Stanford University, Stanford, CA, USA.
Covert Markus W
Department of Bioengineering, Stanford University, Stanford, CA, USA.
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Article Info
Journal
Wiley interdisciplinary reviews. Systems biology and medicine
Abbr.
Wiley Interdiscip Rev Syst Biol Med
ISSN
1939-005X
Published
2010-00-00
Pages
194-209
Language
English
Region
United States
NLM ID
101516550
PMCID
PMC3105527
Subset
IM
Grants
NCI NIH HHS · K99 CA125994 · United States
NCI NIH HHS · R00 CA125994 · United States
NCI NIH HHS · R00 CA125994-05 · United States
NCI NIH HHS · K99/R00 CA125994-01A1 · United States
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