Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Wiley 2023-04-01
Series:Advanced Science
Subjects:
explainable deep hypergraph learning
hypergraph multihead attention network
peptide secondary structure prediction
Online Access:https://doi.org/10.1002/advs.202206151

Internet

https://doi.org/10.1002/advs.202206151

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