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Latent generative landscapes as maps of functional diversity in protein sequence space
Variational autoencoders are unsupervised learning models with generative capabilities, when applied to protein data, they classify sequences by phylogeny and generate de novo sequences which preserve statistical properties of protein composition. While previous studies focus on clustering and gener...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113739/ https://www.ncbi.nlm.nih.gov/pubmed/37076519 http://dx.doi.org/10.1038/s41467-023-37958-z |