Applying computational modeling to drug discovery and development.

Neil Kumar; Bart S Hendriks; Kevin A Janes; David de Graaf; Douglas A Lauffenburger

doi:10.1016/j.drudis.2006.07.010

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Applying computational modeling to drug discovery and development.

Neil Kumar·Bart S Hendriks·Kevin A Janes·David de Graaf·Douglas A Lauffenburger

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Abstract

Computational models of cells, tissues and organisms are necessary for increased understanding of biological systems. In particular, modeling approaches will be crucial for moving biology from a descriptive to a predictive science. Pharmaceutical companies identify molecular interventions that they predict will lead to therapies at the organism level, suggesting that computational biology can play a key role in the pharmaceutical industry. We discuss pharmaceutically-relevant computational modeling approaches currently used as predictive tools. Specific examples demonstrate how companies can employ these computational models to improve the efficiency of transforming targets into therapies.

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Animals Computational Biology Drug Design Drug Industry Humans Models, Biological Signal Transduction Journal Article Research Support, Non-U.S. Gov't Review

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Neil Kumar, Bart S Hendriks, Kevin A Janes, David de Graaf, Douglas A Lauffenburger. 2006. Applying computational modeling to drug discovery and development.. https://doi.org/10.1016/j.drudis.2006.07.010

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