title: Customized predictions of peptide-MHC binding and T-cell epitopes using EPIMHC.
abstract: Peptide binding to major histocompatibility complex (MHC) molecules is the most selective requisite for T-cell recognition. Therefore, prediction of peptide-MHC binding is the main basis for anticipating T-cell epitopes. A very popular and accurate method to predict peptide-MHC binding is based on motif-profiles and here we show how to make them using EPIMHC (http://imed.med.ucm.es/epimhc/). EPIMHC is a database of T-cell epitopes and MHC-binding peptides that unlike any related resource provides a framework for computational vaccinology. In this chapter, we describe how to derive peptide-MHC binding motif-profiles in EPIMHC and use them to predict peptide-MHC binding and T-cell epitopes. Moreover, we show evidence that customization of peptide-MHC binding predictors can lead to enhanced epitope predictions.
authors.affiliation: Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
authors.forename: Magdalena
authors.initials: M
authors.lastname: Molero-Abraham
authors.forename: Esther M
authors.initials: EM
authors.lastname: Lafuente
authors.forename: Pedro
authors.initials: P
authors.lastname: Reche
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D019295:Computational Biology; D030562:Databases, Protein; D018984:Epitopes, T-Lymphocyte / Q000737:chemistry / Q000276:immunology*; D006801:Humans; D008285:Major Histocompatibility Complex; D018448:Models, Immunological; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry / Q000276:immunology*; D012984:Software
chemical_list: D018984:Epitopes, T-Lymphocyte; D010455:Peptides