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Protein design and variant prediction using autoregressive generative models
The ability to design functional sequences and predict effects of variation is central to protein engineering and biotherapeutics. State-of-art computational methods rely on models that leverage evolutionary information but are inadequate for important applications where multiple sequence alignments...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8065141/ https://ncbi.nlm.nih.gov/pubmed/33893299 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-22732-w |
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