PalmPred: an SVM based palmitoylation prediction method using sequence profile information.Protein palmitoylation is the covalent attachment of the 16-carbon fatty acid palmitate to a cysteine residue.  Here we present a novel in silico predictor called 'PalmPred' to identify palmitoylation sites from protein sequence information using a support vector machine model.  The best performance of PalmPred was obtained by incorporating sequence conservation features of peptide of window size 11 using a leave-one-out approach.  PalmPred outperformed existing palmitoylation site prediction methods - IFS-Palm and WAP-Palm on an independent dataset.  Based on these measures it can be anticipated that PalmPred will be helpful in identifying candidate palmitoylation sites.  All the source datasets, standalone and web-server are available at http://14.139.227.92/mkumar/palmpred/.
PalmPred
PalmPred: an SVM based palmitoylation prediction method using sequence profile information.Protein palmitoylation is the covalent attachment of the 16-carbon fatty acid palmitate to a cysteine residue. 
SVM
PalmPred: an SVM based palmitoylation prediction method using sequence profile information.Protein palmitoylation is the covalent attachment of the 16-carbon fatty acid palmitate to a cysteine residue. 
sequence profile information