SVMHC: a server for prediction of MHC-binding peptides

Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W194-7. doi: 10.1093/nar/gkl284.


Identification of MHC-binding peptides is a prerequisite 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 experimentally verified. Here the SVMHC server for prediction of both MHC class I and class II binding peptides is presented. SVMHC offers fast analysis of a wide range of alleles and prediction results are given in several 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 at

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Animals
  • Artificial Intelligence
  • Histocompatibility Antigens / chemistry*
  • Histocompatibility Antigens / genetics
  • Humans
  • Internet
  • Mice
  • Peptides / chemistry*
  • Peptides / genetics
  • Peptides / immunology*
  • Polymorphism, Single Nucleotide
  • Sequence Analysis, Protein
  • Software*


  • Histocompatibility Antigens
  • Peptides