Computational approaches for modeling regulatory cellular networks

Computational approaches for modeling regulatory cellular networks

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...

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Veröffentlicht in:Trends in cell biology 2004-12, Vol.14 (12), p.661-669
Hauptverfasser: Eungdamrong, Narat J., Iyengar, Ravi
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Cells - metabolism
Computational Biology - methods
Humans
Kinetics
Models, Biological
Phenotype
Signal Transduction
Systems Theory
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container_title Trends in cell biology
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creator Eungdamrong, Narat J.
Iyengar, Ravi
description 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.
doi_str_mv 10.1016/j.tcb.2004.10.007
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subjects Animals
Cells - metabolism
Computational Biology - methods
Humans
Kinetics
Models, Biological
Phenotype
Signal Transduction
Systems Theory
title Computational approaches for modeling regulatory cellular networks
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