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Nucleic Acids Research Advance Access published online on October 16, 2007
Nucleic Acids Research, doi:10.1093/nar/gkm862
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

SuperTarget and Matador: resources for exploring drug-target relationships

Stefan Günther1, Michael Kuhn2, Mathias Dunkel1, Monica Campillos2, Christian Senger1, Evangelia Petsalaki2, Jessica Ahmed1, Eduardo Garcia Urdiales2, Andreas Gewiess3, Lars Juhl Jensen2, Reinhard Schneider2, Roman Skoblo3, Robert B. Russell2, Philip E. Bourne4, Peer Bork2,5 and Robert Preissner1,*

1Structural Bioinformatics Group, Institute of Molecular Biology and Bioinformatics, Charité—University Medicine Berlin, Arnimallee 22, 14195 Berlin, 2EMBL—Biocomputing, Meyerhofstraße 1, 69117 Heidelberg, 3Institute for Laboratory Medicine, Windscheidstr, 18, 10627 Berlin, Germany, 4Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA and 5Max-Delbrück-Center for MolecularMedicine (MDC), 13092 Berlin-Buch, Germany

* To whom correspondence should be addressed. Tel: +49 30 8445 1649; Fax: +49 30 8445 1551; Email: robert.preissner{at}charite.de

Received August 15, 2007. Revised September 26, 2007. Accepted September 27, 2007.

The molecular basis of drug action is often not well understood. This is partly because the very abundant and diverse information generated in the past decades on drugs is hidden in millions of medical articles or textbooks. Therefore, we developed a one-stop data warehouse, SuperTarget that integrates drug-related information about medical indication areas, adverse drug effects, drug metabolization, pathways and Gene Ontology terms of the target proteins. An easy-to-use query interface enables the user to pose complex queries, for example to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target the same protein but are metabolized by different enzymes. Furthermore, we provide tools for 2D drug screening and sequence comparison of the targets. The database contains more than 2500 target proteins, which are annotated with about 7300 relations to 1500 drugs; the vast majority of entries have pointers to the respective literature source. A subset of these drugs has been annotated with additional binding information and indirect interactions and is available as a separate resource called Matador. SuperTarget and Matador are available at http://insilico.charite.de/supertarget and http://matador.embl.de


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