Welcome to C10Pred


C10Pred is a SVM based easy to use tool for the prediction of C10 family of cysteine proteases. C10Pred was developed by using different feature sets that includes, amino acid composition, dipeptide composition, physiochemical properties, and the hybrids as an input feature. The C10Pred working module is based on optimally selected hybrid features that predicts whether a given sequence is a C10 or non-C10 cysteine protease. In addition to the prediction results, the probability scores for each prediction are also provided.


 Availability
Standalone Webserver

Reference:
C10Pred: A new machine learning based predictor for the prediction of C10 family cysteine peptidases using sequence derived features (Manuscript Submitted): DOI:xxxx
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