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. © Springer Science+Business Media New York 2014.
CITATION STYLE
Molero-Abraham, M., Lafuente, E. M., & Reche, P. (2014). Customized predictions of peptide-MHC binding and T-cell epitopes using EPIMHC. Methods in Molecular Biology, 1184, 319–332. https://doi.org/10.1007/978-1-4939-1115-8_18
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