Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer
Abstract Accurate and trustworthy prediction of Enzyme Commission (EC) numbers is critical for understanding enzyme functions and their roles in biological processes. Despite the success of recently proposed deep learning-based models, there remain limitations, such as low performance in underrepres...
Zapisane w:
| Główni autorzy: | , , , , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2026-01-01
|
| Seria: | Nature Communications |
| Dostęp online: | https://doi.org/10.1038/s41467-026-68727-3 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|