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Interpretable pairwise distillations for generative protein sequence models
Many different types of generative models for protein sequences have been proposed in literature. Their uses include the prediction of mutational effects, protein design and the prediction of structural properties. Neural network (NN) architectures have shown great performances, commonly attributed...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258900/ https://www.ncbi.nlm.nih.gov/pubmed/35737722 http://dx.doi.org/10.1371/journal.pcbi.1010219 |