NetMHCpan predicts binding of peptides to any known MHC molecule using artificial neural networks (ANNs). The method is trained on more than 115,000 quantitative binding data covering more than 120 different MHC molecules. Predictions can be made for HLA-A, B, C, E and G alleles, as well as for non-human primates, mouse, Cattle and pig. Further, the user can upload full length MHC protein sequences, and have the server predict MHC restricted peptides from any given protein of interest.
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NetMHCpan – MHC class I binding prediction beyond humans
Ilka Hoof, Bjoern Peters, John Sidney, Lasse Eggers Pedersen, Ole Lund, Soren Buus, and Morten Nielsen
Immunogenetics. 2009 Jan;61(1):1-13. Epub 2008 Nov 12.