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Modeling Cell Signaling Networks
Author(s) -
Eungdamrong Narat J,
Iyengar Ravi
Publication year - 2004
Publication title -
biology of the cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.543
H-Index - 85
eISSN - 1768-322X
pISSN - 0248-4900
DOI - 10.1111/j.1768-322x.2004.tb01426.x
Subject(s) - heterotrimeric g protein , biology , systems biology , function (biology) , signal transduction , cell function , bistability , cell signaling , computational biology , computer science , neuroscience , microbiology and biotechnology , cell , g protein , genetics , physics , quantum mechanics
Summry— Cell signaling pathways interact with one another to form networks in mammalian systems. Such networks are complex in their organization and exhibit emergent properties such as bistability and ultrasensitivity. Analysis of signaling networks requires a combination of experimental and theoretical approaches including the development and analysis of models. This review focuses on theoretical approaches to understanding cell signaling networks. Using heterotrimeric G protein pathways an example, we demonstrate how interactions between two pathways can result in a network that contains a positive feedback loop and function as a switch. Different mathematical approaches that are currently used to model signaling networks are described, and future challenges including the need for databases as well as enhanced computing environments are discussed.