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SVRMHC prediction server for MHC-binding peptides.
Wan J, Liu W, Xu Q, Ren Y, Flower DR, Li T
BMC Bioinformatics 2006, 7:463
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BioMed Central articles that cite the above article:

1.


Methodology article    
NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction
Nielsen M, Lund O
BMC Bioinformatics 2009, 10:296 (18 September 2009)
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Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research
Lin HH, Zhang GL, Tongchusak S, Reinherz EL, Brusic V
BMC Bioinformatics 2008, 9(Suppl 12):S22 (12 December 2008)
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Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research
Lin HH, Ray S, Tongchusak S, Reinherz EL, Brusic V
BMC Immunology 2008, 9:8 (16 March 2008)
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Research article    
Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
Rajapakse M, Schmidt B, Feng L, Brusic V
BMC Bioinformatics 2007, 8:459 (22 November 2007)
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Research article    
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
Nielsen M, Lundegaard C, Lund O
BMC Bioinformatics 2007, 8:238 (4 July 2007)
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