| Literature DB >> 18774775 |
Kuo-Chen Chou1, Hong-Bin Shen.
Abstract
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.Entities:
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Year: 2008 PMID: 18774775 DOI: 10.1016/j.bbrc.2008.08.125
Source DB: PubMed Journal: Biochem Biophys Res Commun ISSN: 0006-291X Impact factor: 3.575