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Neural networks to learn protein sequence–function relationships from deep mutational scanning data
The mapping from protein sequence to function is highly complex, making it challenging to predict how sequence changes will affect a protein’s behavior and properties. We present a supervised deep learning framework to learn the sequence–function mapping from deep mutational scanning data and make p...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640744/ https://www.ncbi.nlm.nih.gov/pubmed/34815338 http://dx.doi.org/10.1073/pnas.2104878118 |