STITCH: interaction networks of chemicals and proteins

被引:773
作者
Kuhn, Michael [1 ]
von Mering, Christian [2 ]
Campillos, Monica [1 ]
Jensen, Lars Juhl [1 ]
Bork, Peer [1 ,3 ]
机构
[1] European Mol Biol Lab, D-69117 Heidelberg, Germany
[2] Univ Zurich, CH-8057 Zurich, Switzerland
[3] Max Delbruck Ctr Mol Med, D-13092 Berlin, Germany
关键词
D O I
10.1093/nar/gkm795
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
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 drugtarget 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/.
引用
收藏
页码:D684 / D688
页数:5
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