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Deciphering “the language of nature”: A transformer-based language model for deleterious mutations in proteins
Various machine-learning models, including deep neural network models, have already been developed to predict deleteriousness of missense (non-synonymous) mutations. Potential improvements to the current state of the art, however, may still benefit from a fresh look at the biological problem using m...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448337/ https://www.ncbi.nlm.nih.gov/pubmed/37636282 http://dx.doi.org/10.1016/j.xinn.2023.100487 |