NetMHCpan, a method for MHC class I binding prediction beyond humans - Hoof, Ilka; Peters, Bjoern; Sidney, John; Pedersen, Lasse Eggers; Sette, Alessandro; Lund, Ole; Buus, Søren; Nielsen, Morten (Immunogenetics (New York), 2009)
Keywords: Algorithms; Allergology; Amino Acid Sequence; Animals; Binding specificity; Biomedical and Life Sciences; Biomedicine; Cell Biology; chemistry; Computer Simulation; CTL epitopes; Epitopes, T-Lymphocyte; Epitopes, T-Lymphocyte - chemistry; Epitopes, T-Lymphocyte - immunology; Epitopes, T-Lymphocyte - metabolism; Gene Function; Genes, MHC Class I; genetics; Gorilla gorilla; Gorilla gorilla - genetics; Gorilla gorilla - immunology; Histocompatibility Antigens Class I; Histocompatibility Antigens Class I - immunology; Histocompatibility Antigens Class I - metabolism; HLA Antigens; HLA Antigens - genetics; HLA Antigens - immunology; HLA Antigens - metabolism; Human Genetics; Humans; Immune system; Immunity, Cellular; Immunology; Macaca mulatta; Macaca mulatta - genetics; Macaca mulatta - immunology; Medical research; metabolism; MHC class I; Mice; Models, Biological; neural networks; Neural Networks, Computer; Non-human primates; Oligopeptides; Oligopeptides - immunology; Oligopeptides - metabolism; Original Paper; Pan troglodytes; Pan troglodytes - genetics; Pan troglodytes - immunology; Peptides; Protein Binding; Protein Interaction Domains and Motifs; Protein Interaction Mapping; Species Specificity; Sus scrofa; Sus scrofa - genetics; Sus scrofa - immunology; MHC class I; CTL epitopes; Non-human primates; Binding specificity; Artificial neural networks