SVMHC: a server for prediction of MHC-binding peptides

Identification ofMHC-binding peptides is a prerequis-ite in rational design of T-cell based peptide vaccines. During the past decade a number of computational approaches have been introduced for the prediction of MHC-binding peptides, efficiently reducing the number of candidate binders that need to be experi-mentally verified. Here the SVMHC server for predic-tion of both MHC class I and class II binding peptides is presented. SVMHC offers fast analysis of a wide rangeofallelesandprediction resultsaregiven insev-eral comprehensive formats. The server can be used to find the most likely binders in a protein sequence and to investigate the effects of single nucleotide polymorphisms in terms of MHC-peptide binding. The SVMHC server is accessible a