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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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Bibliografiska uppgifter
I publikationen:PLoS Comput Biol
Huvudupphovsmän: Hawkins-Hooker, Alex, Depardieu, Florence, Baur, Sebastien, Couairon, Guillaume, Chen, Arthur, Bikard, David
Materialtyp: Artigo
Språk:Inglês
Publicerad: Public Library of Science 2021
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7946179/
https://ncbi.nlm.nih.gov/pubmed/33635868
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008736
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