title: Multiple regression analysis suggests motifs for class II MHC binding.
abstract: Multiple regression analysis is utilized to predict peptides that bind major histocompatibility complex (MHC) class II molecules of the d haplotype. The predictor variables, obtained from the primary sequence of protein fragments, include pairs of amino acid residues separated by zero to seven intervening residues. The resulting models demonstrate strong predictive validity, and have interpretations in accordance with recent discoveries regarding the binding mechanisms of class I MHC molecules.
authors.affiliation: University of California, San Francisco, Fresno 93703.
authors.forename: R R
authors.initials: RR
authors.lastname: Mallios
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D000949:Histocompatibility Antigens Class II / Q000276:immunology*; D007107:Immune System / Q000502:physiology; D008954:Models, Biological; D008969:Molecular Sequence Data; D010455:Peptides / Q000276:immunology*; D011485:Protein Binding; D012044:Regression Analysis
chemical_list: D000949:Histocompatibility Antigens Class II; D010455:Peptides