The generative capacity of probabilistic protein sequence models

Potts models and variational autoencoders (VAEs) have recently gained popularity as generative protein sequence models (GPSMs) to explore fitness landscapes and predict mutation effects. Despite encouraging results, current model evaluation metrics leave unclear whether GPSMs faithfully reproduce th...

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Detalles Bibliográficos
Autores principales: McGee, Francisco, Hauri, Sandro, Novinger, Quentin, Vucetic, Slobodan, Levy, Ronald M., Carnevale, Vincenzo, Haldane, Allan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563988/
https://www.ncbi.nlm.nih.gov/pubmed/34728624
http://dx.doi.org/10.1038/s41467-021-26529-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563988/
https://www.ncbi.nlm.nih.gov/pubmed/34728624
http://dx.doi.org/10.1038/s41467-021-26529-9

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