Kuhn Michael, von Mering Christian, Campillos Monica, Jensen Lars Juhl, Bork Peer
European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Nucleic Acids Res. 2008 Jan;36(Database issue):D684-8. doi: 10.1093/nar/gkm795. Epub 2007 Dec 15.
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/.
蛋白质与小分子之间相互作用的知识对于理解分子和细胞功能至关重要。然而,关于此类相互作用的信息广泛分散在众多数据库和文献中。为便于获取这些数据,STITCH(“化学物质相互作用搜索工具”)整合了来自代谢途径、晶体结构、结合实验和药物-靶点关系的相互作用信息。从表型效应、文本挖掘和化学结构相似性推断出的信息用于预测化学物质之间的关系。STITCH还允许探索化学关系网络,包括相关结合蛋白的背景信息。每个提出的相互作用都可以追溯到原始数据源。我们的数据库包含超过68000种不同化学物质的相互作用信息,其中包括2200种药物,并将它们与373个基因组中的150万个基因及其在STRING数据库中的相互作用相连接。可通过http://stitch.embl.de/访问STITCH。