Department of Computer Science, Rice University, Houston, TX 77005, USA.
Bioinformatics. 2011 Aug 1;27(15):2161-2. doi: 10.1093/bioinformatics/btr343. Epub 2011 Jun 8.
The LabelHash server and tools are designed for large-scale substructure comparison. The main use is to predict the function of unknown proteins. Given a set of (putative) functional residues, LabelHash finds all occurrences of matching substructures in the entire Protein Data Bank, along with a statistical significance estimate and known functional annotations for each match. The results can be downloaded for further analysis in any molecular viewer. For Chimera, there is a plugin to facilitate this process.
The web site is free and open to all users with no login requirements at http://labelhash.kavrakilab.org
LabelHash 服务器和工具专为大规模子结构比较而设计。其主要用途是预测未知蛋白质的功能。给定一组(假定的)功能残基,LabelHash 在整个蛋白质数据库中找到所有匹配子结构的出现,并为每个匹配提供统计显著性估计和已知的功能注释。结果可以下载到任何分子查看器中进行进一步分析。对于 Chimera,有一个插件可以方便这个过程。
该网站是免费的,对所有用户开放,无需登录,网址为 http://labelhash.kavrakilab.org。