Document Detail


Drug discovery in the age of systems biology: the rise of computational approaches for data integration.
MedLine Citation:
PMID:  22153034     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Murat Iskar; Georg Zeller; Xing-Ming Zhao; Vera van Noort; Peer Bork
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-12-5
Journal Detail:
Title:  Current opinion in biotechnology     Volume:  -     ISSN:  1879-0429     ISO Abbreviation:  -     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100492     Medline TA:  Curr Opin Biotechnol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
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