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Large-scale prediction of drug-target relationships

Item Type:Article
Title:Large-scale prediction of drug-target relationships
Creators Name:Kuhn, M. and Campillos, M. and Gonzalez, P. and Jensen, L.J. and Bork, P.
Abstract:The rapidly increasing amount of publicly available knowledge in biology and chemistry enables scientists to revisit many open problems by the systematic integration and analysis of heterogeneous novel data. The integration of relevant data does not only allow analyses at the network level, but also provides a more global view on drug-target relations. Here we review recent attempts to apply large-scale computational analyses to predict novel interactions of drugs and targets from molecular and cellular features. In this context, we quantify the family-dependent probability of two proteins to bind the same ligand as function of their sequence similarity. We finally discuss how phenotypic data could help to expand our understanding of the complex mechanisms of drug action.
Keywords:Drug-Target Interaction, Small-Molecule Network, Drug Discovery, Target Prediction
Source:FEBS Letters
ISSN:0014-5793
Publisher:Elsevier (The Netherlands)
Volume:582
Number:8
Page Range:1283-1290
Date:9 April 2008
Official Publication:https://doi.org/10.1016/j.febslet.2008.02.024
PubMed:View item in PubMed

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