Hybrid deep learning model (E2BNet) combining ESM2 and BiLSTM for 8-state protein secondary structure prediction
Abstract Predicting protein secondary structure is essential for understanding protein function, folding mechanisms, and drug discovery applications. Although recent deep learning models, particularly those based on transformer architectures, have improved prediction performance, many approaches rel...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer
2026-04-01
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| Saila: | Discover Applied Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s42452-026-08615-z |
| Etiketak: |
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