Nucleic Acids Research Advance Access originally published online on December 15, 2007
Nucleic Acids Research 2008 36(Database issue):D684-D688; doi:10.1093/nar/gkm795
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nucleic Acids Research, 2008, Vol. 36, Database issue D684-D688
© 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.
This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]
Articles |
STITCH: interaction networks of chemicals and proteins
1European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany, 2University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland and 3Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Strasse 10, 13092 Berlin, Germany
*To whom correspondence should be addressed. Tel: +49 6221 387 296; Fax: +49 6221 387 519; Email: jensen{at}embl.de Correspondence may also be addressed to Peer Bork. Tel: +49 6221 387 526; Fax: +49 6221 387 519; Email: bork{at}embl.de
Received August 14, 2007. Revised September 14, 2007. Accepted September 17, 2007.
The knowledge about interactions between proteins and small molecules is essential for the understanding of molecular and cellular functions. However, information on such interactions is widely dispersed across numerous databases and the literature. To facilitate access to this data, STITCH (‘search tool for interactions of chemicals’) integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug–target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. Our database contains interaction information for over 68 000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database. STITCH is available at http://stitch.embl.de/
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  A. P. Davis, C. G. Murphy, C. A. Saraceni-Richards, M. C. Rosenstein, T. C. Wiegers, and C. J. Mattingly Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks Nucleic Acids Res., September 9, 2008; (2008) gkn580v1. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Ha, Y.-J. Seo, M.-S. Kwon, B.-H. Chang, C.-K. Han, and J.-H. Yoon IDMap: facilitating the detection of potential leads with therapeutic targets Bioinformatics, June 1, 2008; 24(11): 1413 - 1415. [Abstract] [Full Text] [PDF]
|
|