The generative capacity of probabilistic protein sequence models

Generative models have become increasingly popular in protein design, yet rigorous metrics that allow the comparison of these models are lacking. Here, the authors propose a set of such metrics and use them to compare three popular models.

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Autores principales:	Francisco McGee, Sandro Hauri, Quentin Novinger, Slobodan Vucetic, Ronald M. Levy, Vincenzo Carnevale, Allan Haldane
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/83efc157c65a47839c682e567e6f8c92
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spelling	oai:doaj.org-article:83efc157c65a47839c682e567e6f8c922021-11-08T11:12:25ZThe generative capacity of probabilistic protein sequence models10.1038/s41467-021-26529-92041-1723https://doaj.org/article/83efc157c65a47839c682e567e6f8c922021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26529-9https://doaj.org/toc/2041-1723Generative models have become increasingly popular in protein design, yet rigorous metrics that allow the comparison of these models are lacking. Here, the authors propose a set of such metrics and use them to compare three popular models.Francisco McGeeSandro HauriQuentin NovingerSlobodan VuceticRonald M. LevyVincenzo CarnevaleAllan HaldaneNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Francisco McGee Sandro Hauri Quentin Novinger Slobodan Vucetic Ronald M. Levy Vincenzo Carnevale Allan Haldane The generative capacity of probabilistic protein sequence models
description	Generative models have become increasingly popular in protein design, yet rigorous metrics that allow the comparison of these models are lacking. Here, the authors propose a set of such metrics and use them to compare three popular models.
format	article
author	Francisco McGee Sandro Hauri Quentin Novinger Slobodan Vucetic Ronald M. Levy Vincenzo Carnevale Allan Haldane
author_facet	Francisco McGee Sandro Hauri Quentin Novinger Slobodan Vucetic Ronald M. Levy Vincenzo Carnevale Allan Haldane
author_sort	Francisco McGee
title	The generative capacity of probabilistic protein sequence models
title_short	The generative capacity of probabilistic protein sequence models
title_full	The generative capacity of probabilistic protein sequence models
title_fullStr	The generative capacity of probabilistic protein sequence models
title_full_unstemmed	The generative capacity of probabilistic protein sequence models
title_sort	generative capacity of probabilistic protein sequence models
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/83efc157c65a47839c682e567e6f8c92
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The generative capacity of probabilistic protein sequence models

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