Generating functional protein variants with variational autoencoders

The vast expansion of protein sequence databases provides an opportunity for new protein design approaches which seek to learn the sequence-function relationship directly from natural sequence variation. Deep generative models trained on protein sequence data have been shown to learn biologically me...

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Detalles Bibliográficos
Autores principales: Hawkins-Hooker, Alex, Depardieu, Florence, Baur, Sebastien, Couairon, Guillaume, Chen, Arthur, Bikard, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946179/
https://www.ncbi.nlm.nih.gov/pubmed/33635868
http://dx.doi.org/10.1371/journal.pcbi.1008736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946179/
https://www.ncbi.nlm.nih.gov/pubmed/33635868
http://dx.doi.org/10.1371/journal.pcbi.1008736

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