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Unified rational protein engineering with sequence-based deep representation learning
Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabeled amino-acid sequences to distill the fundamental features of a protein into a statistical representation that is semantically rich and structurally, evolutionarily and biophys...
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| Publicado en: | Nat Methods |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7067682/ https://ncbi.nlm.nih.gov/pubmed/31636460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-019-0598-1 |
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