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• W2464003550 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." @default.
• W2464003550 created "2016-07-22" @default.
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• W2464003550 date "2014-01-01" @default.
• W2464003550 modified "2023-10-18" @default.
• W2464003550 title "Customized Predictions of Peptide–MHC Binding and T-Cell Epitopes Using EPIMHC" @default.
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• W2464003550 doi "https://doi.org/10.1007/978-1-4939-1115-8_18" @default.
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