ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information

被引:207
作者
Chou, Kuo-Chen [1 ]
Shen, Hong-Bin
机构
[1] Gordon Life Sci Inst, San Diego, CA 92130 USA
基金
中国国家自然科学基金;
关键词
Protease type; Evolution; Functional domain; Fusion approach; OET-KNN; ProtIdent; Web-server;
D O I
10.1016/j.bbrc.2008.08.125
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Proteases are vitally important to life cycles and have become a main target in drug development. According to their action mechanisms, proteases are classified into six types: (1) aspartic, (2) cysteine, (3) glutamic, (4) metallo, (5) serine, and (6) threonine. Given the sequence of an uncharacterized protein, can we identify whether it is a protease or non-protease? If it is, what type does it belong to? To address these problems, a 2-layer predictor, called "ProtIdent", is developed by fusing the functional domain and sequential evolution information: the first layer is for identifying the query protein as protease or non-protease; if it is a protease, the process will automatically go to the second layer to further identify it among the six types. The overall success rates in both cases by rigorous cross-validation tests were higher than 92%. ProtIdent is freely accessible to the public as a web server at http://www.csbio.sjtu.edu.cn/bioinf/Protease. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:321 / 325
页数:5
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