Sequence-to-function deep learning frameworks for engineered riboregulators

The design of synthetic biology circuits remains challenging due to poorly understood design rules. Here the authors introduce STORM and NuSpeak, two deep-learning architectures to characterize and optimize toehold switches.

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Detalles Bibliográficos
Autores principales:	Jacqueline A. Valeri, Katherine M. Collins, Pradeep Ramesh, Miguel A. Alcantar, Bianca A. Lepe, Timothy K. Lu, Diogo M. Camacho
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d92e1c3c09eb4750aa706310533722cf
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spelling	oai:doaj.org-article:d92e1c3c09eb4750aa706310533722cf2021-12-02T18:09:04ZSequence-to-function deep learning frameworks for engineered riboregulators10.1038/s41467-020-18676-22041-1723https://doaj.org/article/d92e1c3c09eb4750aa706310533722cf2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18676-2https://doaj.org/toc/2041-1723The design of synthetic biology circuits remains challenging due to poorly understood design rules. Here the authors introduce STORM and NuSpeak, two deep-learning architectures to characterize and optimize toehold switches.Jacqueline A. ValeriKatherine M. CollinsPradeep RameshMiguel A. AlcantarBianca A. LepeTimothy K. LuDiogo M. CamachoNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jacqueline A. Valeri Katherine M. Collins Pradeep Ramesh Miguel A. Alcantar Bianca A. Lepe Timothy K. Lu Diogo M. Camacho Sequence-to-function deep learning frameworks for engineered riboregulators
description	The design of synthetic biology circuits remains challenging due to poorly understood design rules. Here the authors introduce STORM and NuSpeak, two deep-learning architectures to characterize and optimize toehold switches.
format	article
author	Jacqueline A. Valeri Katherine M. Collins Pradeep Ramesh Miguel A. Alcantar Bianca A. Lepe Timothy K. Lu Diogo M. Camacho
author_facet	Jacqueline A. Valeri Katherine M. Collins Pradeep Ramesh Miguel A. Alcantar Bianca A. Lepe Timothy K. Lu Diogo M. Camacho
author_sort	Jacqueline A. Valeri
title	Sequence-to-function deep learning frameworks for engineered riboregulators
title_short	Sequence-to-function deep learning frameworks for engineered riboregulators
title_full	Sequence-to-function deep learning frameworks for engineered riboregulators
title_fullStr	Sequence-to-function deep learning frameworks for engineered riboregulators
title_full_unstemmed	Sequence-to-function deep learning frameworks for engineered riboregulators
title_sort	sequence-to-function deep learning frameworks for engineered riboregulators
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d92e1c3c09eb4750aa706310533722cf
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Sequence-to-function deep learning frameworks for engineered riboregulators

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