Modeling of signaling networks

Susana R. Neves; RAVI IYENGAR

doi:10.1002/bies.1154

journal article Nov 22, 2002

Modeling of signaling networks

Susana R. Neves RAVI IYENGAR

BioEssays Vol. 24 No. 12 pp. 1110-1117 · Wiley

View at Publisher Save 10.1002/bies.1154

Abstract

AbstractBiochemical 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. BioEssays 24:1110–1117, 2002. © 2002 Wiley‐Periodicals, Inc.

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References

Details

Published: Nov 22, 2002
Vol/Issue: 24(12)
Pages: 1110-1117
License: View

Authors

Cite This Article

Susana R. Neves, RAVI IYENGAR (2002). Modeling of signaling networks. BioEssays, 24(12), 1110-1117. https://doi.org/10.1002/bies.1154

Modeling of signaling networks

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