Geometric deep learning improves generalizability of MHC-bound peptide predictions

Geometric deep learning improves generalizability of MHC-bound peptide predictions

Abstract The interaction between peptides and major histocompatibility complex (MHC) molecules is pivotal in autoimmunity, pathogen recognition and tumor immunity. Recent advances in cancer immunotherapies demand for more accurate computational prediction of MHC-bound peptides. We address the genera...

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Main Authors: Dario F. Marzella, Giulia Crocioni, Tadija Radusinović, Daniil Lepikhov, Heleen Severin, Dani L. Bodor, Daniel T. Rademaker, ChiaYu Lin, Sonja Georgievska, Nicolas Renaud, Amy L. Kessler, Pablo Lopez-Tarifa, Sonja I. Buschow, Erik Bekkers, Li C. Xue
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-024-07292-1
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https://doi.org/10.1038/s42003-024-07292-1

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