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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...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2023
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| Materias: | |
| 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 |