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Expanding functional protein sequence space using high entropy generative models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Netti, Roberto, Hinds, Emily, Calvanese, Francesco, Ranganathan, Rama, Weigt, Martin, Zamponi, Francesco
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Quantitative Methods Statistical Mechanics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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