Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction

Abstract Accurately predicting peptide secondary structures remains a challenging task due to the lack of discriminative information in short peptides. In this study, PHAT is proposed, a deep hypergraph learning framework for the prediction of peptide secondary structures and the exploration of down...

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Autors principals:	Yi Jiang, Ruheng Wang, Jiuxin Feng, Junru Jin, Sirui Liang, Zhongshen Li, Yingying Yu, Anjun Ma, Ran Su, Quan Zou, Qin Ma, Leyi Wei
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2023-04-01
Col·lecció:	Advanced Science
Matèries:	explainable deep hypergraph learning hypergraph multihead attention network peptide secondary structure prediction
Accés en línia:	https://doi.org/10.1002/advs.202206151
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