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

Item Type:Review
Title:Drug discovery in the age of systems biology: the rise of computational approaches for data integration
Creators Name:Iskar, M. and Zeller, G. and Zhao, X.M. and 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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