ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties
Abstract The UniProt database is a valuable resource for biocatalyst discovery, yet predicting enzymatic functions remains challenging, especially for low-similarity sequences. Identifying superior enzymes with enhanced catalytic properties is even harder. To overcome these challenges, we develop ES...
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| Автори: | , , , , , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2025-04-01
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| Серія: | Nature Communications |
| Онлайн доступ: | https://doi.org/10.1038/s41467-025-58521-y |
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