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CysView：基于半胱氨酸配对模式的蛋白质分类

CysView: protein classification based on cysteine pairing patterns.

作者信息

Lenffer Johann, Lai Paulo, El Mejaber Wafaa, Khan Asif M, Koh Judice L Y, Tan Paul T J, Seah Seng H, Brusic Vladimir

机构信息

Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W350-5. doi: 10.1093/nar/gkh475.

DOI:10.1093/nar/gkh475
PMID:15215409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC441613/
Abstract

CysView is a web-based application tool that identifies and classifies proteins according to their disulfide connectivity patterns. It accepts a dataset of annotated protein sequences in various formats and returns a graphical representation of cysteine pairing patterns. CysView displays cysteine patterns for those records in the data with disulfide annotations. It allows the viewing of records grouped by connectivity patterns. CysView's utility as an analysis tool was demonstrated by the rapid and correct classification of scorpion toxin entries from GenPept on the basis of their disulfide pairing patterns. It has proved useful for rapid detection of irrelevant and partial records, or those with incomplete annotations. CysView can be used to support distant homology between proteins. CysView is publicly available at http://research.i2r.a-star.edu.sg/CysView/.

摘要

CysView是一个基于网络的应用工具，它根据蛋白质的二硫键连接模式对蛋白质进行识别和分类。它接受各种格式的带注释蛋白质序列数据集，并返回半胱氨酸配对模式的图形表示。CysView会为数据中带有二硫键注释的那些记录显示半胱氨酸模式。它允许查看按连接模式分组的记录。通过基于二硫键配对模式对GenPept中的蝎子毒素条目进行快速正确分类，证明了CysView作为一种分析工具的实用性。它已被证明对于快速检测不相关和部分记录或注释不完整的记录很有用。CysView可用于支持蛋白质之间的远缘同源性。可通过http://research.i2r.a-star.edu.sg/CysView/公开获取CysView。

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