A deep learning approach to programmable RNA switches

RNA can be used as a programmable tool for detection of biological analytes. Here the authors use deep neural networks to predict toehold switch functionality in synthetic biology applications.

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Autores principales:	Nicolaas M. Angenent-Mari, Alexander S. Garruss, Luis R. Soenksen, George Church, James J. Collins
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/286bc1fe8dc44d1d82f15d89d4596e2e
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id	oai:doaj.org-article:286bc1fe8dc44d1d82f15d89d4596e2e
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spelling	oai:doaj.org-article:286bc1fe8dc44d1d82f15d89d4596e2e2021-12-02T18:01:42ZA deep learning approach to programmable RNA switches10.1038/s41467-020-18677-12041-1723https://doaj.org/article/286bc1fe8dc44d1d82f15d89d4596e2e2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18677-1https://doaj.org/toc/2041-1723RNA can be used as a programmable tool for detection of biological analytes. Here the authors use deep neural networks to predict toehold switch functionality in synthetic biology applications.Nicolaas M. Angenent-MariAlexander S. GarrussLuis R. SoenksenGeorge ChurchJames J. CollinsNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nicolaas M. Angenent-Mari Alexander S. Garruss Luis R. Soenksen George Church James J. Collins A deep learning approach to programmable RNA switches
description	RNA can be used as a programmable tool for detection of biological analytes. Here the authors use deep neural networks to predict toehold switch functionality in synthetic biology applications.
format	article
author	Nicolaas M. Angenent-Mari Alexander S. Garruss Luis R. Soenksen George Church James J. Collins
author_facet	Nicolaas M. Angenent-Mari Alexander S. Garruss Luis R. Soenksen George Church James J. Collins
author_sort	Nicolaas M. Angenent-Mari
title	A deep learning approach to programmable RNA switches
title_short	A deep learning approach to programmable RNA switches
title_full	A deep learning approach to programmable RNA switches
title_fullStr	A deep learning approach to programmable RNA switches
title_full_unstemmed	A deep learning approach to programmable RNA switches
title_sort	deep learning approach to programmable rna switches
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/286bc1fe8dc44d1d82f15d89d4596e2e
work_keys_str_mv	AT nicolaasmangenentmari adeeplearningapproachtoprogrammablernaswitches AT alexandersgarruss adeeplearningapproachtoprogrammablernaswitches AT luisrsoenksen adeeplearningapproachtoprogrammablernaswitches AT georgechurch adeeplearningapproachtoprogrammablernaswitches AT jamesjcollins adeeplearningapproachtoprogrammablernaswitches AT nicolaasmangenentmari deeplearningapproachtoprogrammablernaswitches AT alexandersgarruss deeplearningapproachtoprogrammablernaswitches AT luisrsoenksen deeplearningapproachtoprogrammablernaswitches AT georgechurch deeplearningapproachtoprogrammablernaswitches AT jamesjcollins deeplearningapproachtoprogrammablernaswitches
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A deep learning approach to programmable RNA switches

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