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首页> 外文期刊>Nucleic Acids Research >SuperSite: dictionary of metabolite and drug binding sites in proteins.
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SuperSite: dictionary of metabolite and drug binding sites in proteins.

机译:SuperSite:蛋白质中代谢物和药物结合位点的字典。

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摘要

The increasing structural information about target-bound compounds provide a rich basis to study the binding mechanisms of metabolites and drugs. SuperSite is a database, which combines the structural information with various tools for the analysis of molecular recognition. The main data is made up of 8000 metabolites including 1300 drugs, bound to about 290 000 different receptor binding sites. The analysis tools include features, like the highlighting of evolutionary conserved receptor residues, the marking of putative binding pockets and the superpositioning of different binding sites of the same ligand. User-defined compounds can be edited or uploaded and will be superimposed with the most similar co-crystallized ligand. The user can examine all results online with the molecule viewer Jmol. An implemented search algorithm allows the screening of uploaded proteins, in order to detect potential drug binding sites, which are similar to known binding pockets. The huge data set of target-bound compounds in combination with the provided analysis tools allow to inspect the characteristics of molecular recognition, especially for drug target interactions. SuperSite is publicly available at: http://bioinformatics.charite.de/supersite.
机译:有关靶标结合的化合物的结构信息不断增加,为研究代谢物与药物的结合机理提供了丰富的基础。 SuperSite是一个数据库,它将结构信息与各种用于分子识别分析的工具结合在一起。主要数据由8000种代谢物(包括1300种药物)组成,这些代谢物与大约290 000个不同的受体结合位点结合。分析工具包括一些功能,例如突出显示进化保守受体残基,标记可能的结合口袋以及同一配体的不同结合位点重叠。可以编辑或上传用户定义的化合物,并将其与最相似的共结晶配体叠加。用户可以使用分子查看器Jmol在线检查所有结果。一种实现的搜索算法可以筛选上载的蛋白质,以便检测与已知结合袋相似的潜在药物结合位点。结合靶标化合物的庞大数据集与提供的分析工具结合在一起,可以检查分子识别的特性,尤其是对于药物靶标相互作用而言。 SuperSite可通过以下网址公开获得:http://bioinformatics.charite.de/supersite。

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