Computational approaches for modeling regulatory cellular networks

Narat J. Eungdamrong, Ravi Iyengar

Research output: Contribution to journalReview articlepeer-review

57 Scopus citations

Abstract

Cellular components interact with each other to form networks that process information and evoke biological responses. A deep understanding of the behavior of these networks requires the development and analysis of mathematical models. In this article, different types of mathematical representations for modeling signaling networks are described, and the advantages and disadvantages of each type are discussed. Two experimentally well-studied signaling networks are then used as examples to illustrate the insight that could be gained through modeling. Finally, the modeling approach is expanded to describe how signaling networks might regulate cellular machines and evoke phenotypic behaviors.

Original languageEnglish
Pages (from-to)661-669
Number of pages9
JournalTrends in Cell Biology
Volume14
Issue number12
DOIs
StatePublished - Dec 2004

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