The web server PredCSF was developed by using modified one-versus-rest SVMs. The SVMs’input features are composed of physicochemical properties, evolutionary information, second structure and amino acid composition. Each SVM classifier’s output is the probability assigned to a superfamily.
Computational Systems Biology Group, Shanghai Jiao Tong University
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Protein Pept Lett. 2011 Mar;18(3):261-7.
PredCSF: an integrated feature-based approach for predicting conotoxin superfamily.
Fan YX1, Song J, Shen HB, Kong X.