Structure-aware deep model for MHC-II peptide binding affinity prediction

Abstract The prediction of major histocompatibility complex (MHC)-peptide binding affinity is an important branch in immune bioinformatics, especially helpful in accelerating the design of disease vaccines and immunity therapy. Although deep learning-based solutions have yielded promising results on...

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Autors principals:	Ying Yu, Lipeng Zu, Jiaye Jiang, Yafang Wu, Yinglin Wang, Midie Xu, Qing Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-01-01
Col·lecció:	BMC Genomics
Matèries:	MHC-II molecules Affinity prediction Positional embedding
Accés en línia:	https://doi.org/10.1186/s12864-023-09900-6
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