Modeling cell signaling networks

Narat J. Eungdamrong, Ravi Iyengar

Research output: Contribution to journalShort surveypeer-review

98 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)355-362
Number of pages8
JournalBiology of the Cell
Volume96
Issue number5
DOIs
StatePublished - Jun 2004

Keywords

  • Computational analysis
  • G protein pathways
  • Models
  • Signaling networks

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