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Curr Opin Biotechnol. 2012 Aug;23(4):609-16. doi: 10.1016/j.copbio.2011.11.010. Epub 2011 Dec 5.

Drug discovery in the age of systems biology: the rise of computational approaches for data integration.

Author information

1
Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

Abstract

The increased availability of large-scale open-access resources on bioactivities of small molecules has a significant impact on pharmacology facilitated mainly by computational approaches that digest the vast amounts of data. We discuss here how computational data integration enables systemic views on a drug's action and allows to tackle complex problems such as the large-scale prediction of drug targets, drug repurposing, the molecular mechanisms, cellular responses or side effects. We particularly focus on computational methods that leverage various cell-based transcriptional, proteomic and phenotypic profiles of drug response in order to gain a systemic view of drug action at the molecular, cellular and whole-organism scale.

PMID:
22153034
DOI:
10.1016/j.copbio.2011.11.010
[Indexed for MEDLINE]

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