Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction

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 downstream ta...

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Detalles Bibliográficos
Autores principales: Jiang, Yi, Wang, Ruheng, Feng, Jiuxin, Jin, Junru, Liang, Sirui, Li, Zhongshen, Yu, Yingying, Ma, Anjun, Su, Ran, Zou, Quan, Ma, Qin, Wei, Leyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104664/
https://www.ncbi.nlm.nih.gov/pubmed/36794291
http://dx.doi.org/10.1002/advs.202206151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104664/
https://www.ncbi.nlm.nih.gov/pubmed/36794291
http://dx.doi.org/10.1002/advs.202206151

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