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Computational systems biology in drug discovery and development: methods and applications

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1016/j.drudis.2007.02.013
AuthorSearch for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. National Institute for Nanotechnology
FormatText, Article
Subjectalgorithms; computational biology; drug design; models, theoretical; software; systems biology; technology, pharmaceutical
Abstract
Computational systems biology is an emerging field in biological simulation that attempts to model or simulate intra- and intercellular events using data gathered from genomic, proteomic or metabolomic experiments. The need to model complex temporal and spatiotemporal processes at many different scales has led to the emergence of numerous techniques, including systems of differential equations, Petri nets, cellular automata simulators, agent-based models and pi calculus. This review provides a brief summary and an assessment of most of these approaches. It also provides examples of how these methods are being used to facilitate drug discovery and development.
Publication date
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  • Drug Discovery Today 12, no. 7-8: 295–303.
LanguageEnglish
Peer reviewedYes
Identifier16876660
NRC number388
NPARC number12328281
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Record identifier72922a8c-c05f-4c34-b25b-39d792b6ecf2
Record created2009-09-10
Record modified2020-05-10
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