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

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Item Type:	Review
Title:	Drug discovery in the age of systems biology: the rise of computational approaches for data integration
Creators Name:	Iskar, M., Zeller, G., Zhao, X.M., van Noort, V. and Bork, P.
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.
Keywords:	Computational Biology, Factual Databases, Drug Discovery, Pharmaceutical Preparations, Pharmacokinetics, Proteomics, Systems Biology, Animals
Source:	Current Opinion in Biotechnology
ISSN:	0958-1669
Publisher:	Elsevier / Current Biology
Volume:	23
Number:	4
Page Range:	609-616
Date:	August 2012
Official Publication:	https://doi.org/10.1016/j.copbio.2011.11.010
PubMed:	View item in PubMed

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