Modeling of signaling networks

Susana R. Neves, Ravi Iyengar

Research output: Contribution to journalReview articlepeer-review

111 Scopus citations

Abstract

Biochemical networks, including those containing signaling pathways, display a wide range of regulatory properties. These include the ability to propagate information across different time scales and to function as switches and oscillators. The mechanisms underlying these complex behaviors involve many interacting components and cannot be understood by experiments alone. The development of computational models and the integration of these models with experiments provide valuable insight into these complex systems-level behaviors. Here we review current approaches to the development of computational models of biochemical networks and describe the insights gained from models that integrate experimental data, using three examples that deal with ultrasensitivity, flexible bistability and oscillatory behavior. These types of complex behavior from relatively simple networks highlight the necessity of using theoretical approaches in understanding higher order biological functions.

Original languageEnglish
Pages (from-to)1110-1117
Number of pages8
JournalBioEssays
Volume24
Issue number12
DOIs
StatePublished - 1 Dec 2002

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