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Computational Modeling in Systems Biology

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Systems Biology in Drug Discovery and Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 662))

Abstract

Interactions among cellular constituents play a crucial role in overall cellular function and organization. These interactions can be viewed as being complementary to the usual “parts list” of genes and proteins and, in conjunction with the expression states of these parts, are key to a systems level understanding of the cell. Here, we review computational approaches to the understanding of the functional roles of cellular networks, ranging from “static” models of network topology to dynamical and stochastic simulations.

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Acknowledgments

The authors would like to acknowledge support provided by the US National Science Foundation grant FIBR 0527023.

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Authors and Affiliations

  1. Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA

    Ravishankar R. Vallabhajosyula & Alpan Raval

  2. School of Mathematical Sciences, Claremont Graduate University, Claremont, CA, USA

    Alpan Raval

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  1. Ravishankar R. Vallabhajosyula
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  2. Alpan Raval
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  1. PharmTao, Santa Clara, California, USA

    Qing Yan

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Vallabhajosyula, R.R., Raval, A. (2010). Computational Modeling in Systems Biology. In: Yan, Q. (eds) Systems Biology in Drug Discovery and Development. Methods in Molecular Biology, vol 662. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-800-3_5

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  • DOI: https://doi.org/10.1007/978-1-60761-800-3_5

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