Prediction of Virulence factors, Information molecule, Cellular process and Metabolism molecule in the Bacterial proteins.
VICMpred is a webserver aid in broad functional classification of proteins of bacteria into virulence factors, information molecule, cellular process and metabolism molecule.
The VICMpred server uses SVM based method having patterns, aminoacid and dipeptide composition of bacterial protein sequences and overall accuracy of this server is 70.75%.
It is important in drug and vaccine point of view to select virulence proteins from the pool of proteins or the proteome of an organism.
Please cite following paper if you are using VICMpred:
Saha, S. and Raghava, G.P.S. (2006) VICMpred: SVM-based method for the prediction of functional proteins of gram-negative bacteria using amino acid patterns and composition. Genomics Proteomics & Bioinformatics. 4(1):42-7