Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs
Abstract Missense mutations can disrupt the structure and function of membrane proteins, potentially impairing key biological processes and leading to various human diseases. However, existing computational methods primarily focus on binary pathogenicity classification for general proteins, with lim...
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| Asıl Yazarlar: | , , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2025-07-01
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| Seri Bilgileri: | Communications Biology |
| Online Erişim: | https://doi.org/10.1038/s42003-025-08452-7 |
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