Author:
Mikhaylov Victor,Levine Arnold J.
Abstract
SummaryMajor histocompatibility complex (MHC) proteins present peptides on the cell surface for T-cell surveillance. Reliablein silicoprediction of which peptides would be presented and which T-cell receptors would recognize them is an important problem in structural immunology. Here, we introduce an AlphaFold-based pipeline for predicting the three-dimensional structures of peptide-MHC complexes for class I and class II MHC molecules. Our method demonstrates high accuracy, outperforming existing tools in class I modeling precision and class II peptide register prediction. We explore applications of this method towards improving peptide-MHC binding prediction.
Publisher
Cold Spring Harbor Laboratory
Cited by
8 articles.
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