RAIN: machine learning-based identification for HIV-1 bNAbs
Abstract Broadly neutralizing antibodies (bNAbs) are promising candidates for the treatment and prevention of HIV-1 infections. Despite their critical importance, automatic detection of HIV-1 bNAbs from immune repertoires is still lacking. Here, we develop a straightforward computational method for...
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| Główni autorzy: | , , , , , , , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2024-06-01
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| Seria: | Nature Communications |
| Dostęp online: | https://doi.org/10.1038/s41467-024-49676-1 |
| Etykiety: |
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