Welcome to the Home Page of SVM-PVP


SVM-PVP is web based prediction server for bacteriophage virion proteins. SVM-based prediction model was developed using the optimal feature set selected by random forest. The optimal feature set includes, amino acid composition, atomic composition, dipeptide composition, and physiochemical properties as an input feature. For a given peptide, SVM-PVP predicts its calss and probability values.


Enter the protein sequences in fasta format Enter the protein sequences in FASTA format (Example)



File:








Reference

SVM-PVP: sequence-based prediction of bacteriophage virion proteins using a support vector machine (Submitted).
 [Please cite this paper if you find SVM-PVP useful in your research] 

Contact: bala@kias.re.kr