Drug discovery in the age of systems biology: the rise of computational approaches for data integration
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...
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| Main Authors: | , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
August 2012
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| In: |
Current opinion in biotechnology
Year: 2011, Volume: 23, Issue: 4, Pages: 609-616 |
| ISSN: | 1879-0429 |
| DOI: | 10.1016/j.copbio.2011.11.010 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1016/j.copbio.2011.11.010 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S095816691100721X 
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| Author Notes: | Murat Iskar, Georg Zeller, Xing-Ming Zhao, Vera van Noort and Peer Bork |
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| 520 | |a 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. | ||
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