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...

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Detalles Bibliográficos
Autores principales: Ziegler, Cheyenne, Martin, Jonathan, Sinner, Claude, Morcos, Faruck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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