TMpro网络服务器和网络服务：通过氨基酸特性分析进行跨膜螺旋预测。
TMpro web server and web service: transmembrane helix prediction through amino acid property analysis.
作者信息
Ganapathiraju Madhavi, Jursa Christopher Jon, Karimi Hassan A, Klein-Seetharaman Judith
机构信息
Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
出版信息
Bioinformatics. 2007 Oct 15;23(20):2795-6. doi: 10.1093/bioinformatics/btm398. Epub 2007 Aug 27.
UNLABELLED
TMpro is a transmembrane (TM) helix prediction algorithm that uses language processing methodology for TM segment identification. It is primarily based on the analysis of statistical distributions of properties of amino acids in transmembrane segments. This article describes the availability of TMpro on the internet via a web interface. The key features of the interface are: (i) output is generated in multiple formats including a user-interactive graphical chart which allows comparison of TMpro predicted segment locations with other labeled segments input by the user, such as predictions from other methods. (ii) Up to 5000 sequences can be submitted at a time for prediction. (iii) TMpro is available as a web server and is published as a web service so that the method can be accessed by users as well as other services depending on the need for data integration.
AVAILABILITY
http://linzer.blm.cs.cmu.edu/tmpro/ (web server and help), http://blm.sis.pitt.edu:8080/axis/services/TMProFetcherService (web service).
未标注
TMpro是一种跨膜（TM）螺旋预测算法，它使用语言处理方法来识别TM片段。它主要基于对跨膜片段中氨基酸特性统计分布的分析。本文介绍了通过网络界面在互联网上获取TMpro的情况。该界面的关键特性包括：（i）以多种格式生成输出，包括一个用户交互式图表，该图表允许将TMpro预测的片段位置与用户输入的其他标记片段（如其他方法的预测结果）进行比较。（ii）一次最多可提交5000个序列进行预测。（iii）TMpro作为一个网络服务器可用，并作为一种网络服务发布，以便用户以及其他服务根据数据集成的需要访问该方法。
可用性
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