Version history

• The method has been retained on an extented data set including six HLA-DQ and six HLA-DP alleles.

• The method has been retained on an extented data set including four HLA-DQ and four HLA-DP alleles.

• The NN-align method was applied to training the predictor for 14 HLA-DR and three mouse MHC class II alleles.
• Publication: A neural network-based alignment algorithm for MHC class II peptide binding prediction. Nielsen M and Lund O. BMC Bioinformatics. 2009 Sep 18;10:296.

• The method has been retained on an extented data set including four HLA-DQ and four HLA-DP alleles.

• For comparisons the SMM-align method has been reatrained on the Wang benchmark data set using 10 fold cross validation. The predictive performamce values are available online at Wang Benchmark

Main publication: Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method. Morten Nielsen, Claus Lundegaard, and Ole Lund. BMC Bioinformatics: 8: 238, 2007.

• Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method.
  Morten Nielsen*, Claus Lundegaard, and Ole Lund.
  BMC Bioinformatics: 8: 238, 2007.
  View the abstract, the full text version at BMC Bioinformatics: Full text

  NOTE! The published version of the manuscript has an inconsistent reference listing. For a correct reference listing click here