Department of Biotechnology, Bhupat and Jyoti Mehta School of BioSciences, Indian Institute of Technology Madras, Chennai, Tamilnadu, India.
Department of Bioinformatics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation.
Bioinformatics. 2018 Jul 1;34(13):2325-2326. doi: 10.1093/bioinformatics/bty054.
Existing sources of experimental mutation data do not consider the structural environment of amino acid substitutions and distinguish between soluble and membrane proteins. They also suffer from a number of further limitations, including data redundancy, lack of disease classification, incompatible information content, and ambiguous annotations (e.g. the same mutation being annotated as disease and benign).
We have developed a novel database, MutHTP, which contains information on 183 395 disease-associated and 17 827 neutral mutations in human transmembrane proteins. For each mutation site MutHTP provides a description of its location with respect to the membrane protein topology, structural environment (if available) and functional features. Comprehensive visualization, search, display and download options are available.
The database is publicly available at http://www.iitm.ac.in/bioinfo/MutHTP/. The website is implemented using HTML, PHP and javascript and supports recent versions of all major browsers, such as Firefox, Chrome and Opera.
Supplementary data are available at Bioinformatics online.
现有的实验突变数据来源没有考虑氨基酸替换的结构环境,也没有区分可溶性蛋白和膜蛋白。它们还存在许多其他限制,包括数据冗余、缺乏疾病分类、信息内容不兼容和注释不明确(例如,同一突变被注释为疾病和良性)。
我们开发了一个新的数据库 MutHTP,其中包含了 183395 个人类跨膜蛋白相关疾病和 17827 个中性突变的信息。对于每个突变位点,MutHTP 提供了关于其在膜蛋白拓扑结构、结构环境(如果可用)和功能特征方面位置的描述。提供了全面的可视化、搜索、显示和下载选项。
该数据库可在 http://www.iitm.ac.in/bioinfo/MutHTP/ 上公开获取。该网站使用 HTML、PHP 和 JavaScript 实现,并支持 Firefox、Chrome 和 Opera 等最新版本的所有主要浏览器。
补充数据可在 Bioinformatics 在线获取。