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Computational cell biology in the post-genomic era

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Abstract

Rapid accumulation of biological data from novel high throughput technologies characteristic of genomic and proteomic research as well as advances in more traditional biological disciplines are leading to wider use of detailed and complex computational models of cell behavior. These models address a variety of dynamic intracellular processes ranging from interactions within a gene regulation network to intracellular and intercellular signal transduction. This review focuses on the current trends in computation cell biology, particularly emphasizing the role of experimental validation. The recent successes and future challenges facing computational cell biology are also discussed.

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Authors and Affiliations

  1. The Whitaker Institute for Biomedical Engineering, Johns Hopkins University, 208C Clark Hall, 3400 N. Charles St., Baltimore, MD, 21218, USA

    Andre Levchenko

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  1. Andre Levchenko
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Levchenko, A. Computational cell biology in the post-genomic era. Mol Biol Rep 28, 83–89 (2001). https://doi.org/10.1023/A:1017913813132

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