swMATH ID: 16647
Software Authors: Kuo-Chen Chou, Hong-Bin Shen
Description: ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information. 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
Homepage: http://www.csbio.sjtu.edu.cn/bioinf/Protease/
Related Software: Cell-PLoc; Memtype-2L; Signal-CF; GPCR-CA; EzyPred; Euk-mPLoc; Signal-3L; HIVcleave; GPCR-GIA; Euk-PLoc; QuatIdent; Plant-mPLoc; LIBSVM; Virus-ploc; FoldRate; Hum-PLoc; GPCR-2L; iLoc-Euk; iLoc-Hum; iLoc-Virus
Cited in: 21 Publications

Citations by Year