کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1934803 1050651 2008 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شیمی
پیش نمایش صفحه اول مقاله
ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochemical and Biophysical Research Communications - Volume 376, Issue 2, 14 November 2008, Pages 321–325
نویسندگان
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