Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification - Andreatta, Massimo; Karosiene, Edita; Rasmussen, Michael; Stryhn, Anette; Buus, Søren; Nielsen, Morten (Immunogenetics (New York), 2015)
Keywords: Algorithms; Allergology; Amino Acid Sequence; Amino acids; Animals; Antigens; Binding Sites; Biomedical and Life Sciences; Biomedicine; Cell Biology; Cluster Analysis; Computational Biology - methods; Cytomegalovirus; Databases, Protein; Epitopes - immunology; Experimental methods; Gene Function; Histocompatibility Antigens Class II - chemistry; Histocompatibility Antigens Class II - immunology; Histocompatibility Antigens Class II - metabolism; Human Genetics; Humans; Identification; Immune system; Immunology; Lymphocytes; Mice; Models, Molecular; Molecular Sequence Data; Neural networks; Neural Networks (Computer); Original Paper; Peptide Fragments - chemistry; Peptide Fragments - metabolism; Peptides; Protein Binding; Research methodology; Sequence Homology, Amino Acid; T cell receptors; Denmark; La Jolla California; United States--US; T cell cross-reactivity; Binding core; MHC class II; Peptide binding; Peptide-MHC; Artificial neural networks