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Nucleic Acids Research Advance Access published online on November 6, 2009

Nucleic Acids Research, doi:10.1093/nar/gkp937
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Database Issue

STITCH 2: an interaction network database for small molecules and proteins

Michael Kuhn1, Damian Szklarczyk2, Andrea Franceschini3, Monica Campillos4, Christian von Mering3, Lars Juhl Jensen2, Andreas Beyer1 and Peer Bork4,5,*

1Biotechnology Center, TU Dresden, 01062 Dresden, Germany, 2Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3b, 2200 Copenhagen, Denmark, 3Institute of Molecular Biology and Swiss Institute of Bioinformatics, University of Zurich, Switzerland, 4European Molecular Biology Laboratory, Meyerhof street 1, 69117 Heidelberg and 5Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Strasse 10, 13092 Berlin, Germany

*To whom correspondence should be addressed. Tel: +49 6221 387 8526; Fax: +49 6221 387 517; Email: bork{at}embl.de

Received September 15, 2009. Revised October 8, 2009. Accepted October 9, 2009.

Over the last years, the publicly available knowledge on interactions between small molecules and proteins has been steadily increasing. To create a network of interactions, STITCH aims to integrate the data dispersed over the literature and various databases of biological pathways, drug–target relationships and binding affinities. In STITCH 2, the number of relevant interactions is increased by incorporation of BindingDB, PharmGKB and the Comparative Toxicogenomics Database. The resulting network can be explored interactively or used as the basis for large-scale analyses. To facilitate links to other chemical databases, we adopt InChIKeys that allow identification of chemicals with a short, checksum-like string. STITCH 2.0 connects proteins from 630 organisms to over 74 000 different chemicals, including 2200 drugs. STITCH can be accessed at http://stitch.embl.de/.


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