Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production

Fatty acyl reductases (FARs) are critical enzymes in the biosynthesis of fatty alcohols and have the ability to directly acces acyl-ACP substrates. Here, authors couple machine learning-based protein engineering framework with gene shuffling to optimize a FAR for the activity on acyl-ACP and improve...

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Autores principales:	Jonathan C. Greenhalgh, Sarah A. Fahlberg, Brian F. Pfleger, Philip A. Romero
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/c7cf4104a3534f20a86d3e06336ff293
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spelling	oai:doaj.org-article:c7cf4104a3534f20a86d3e06336ff2932021-12-02T18:37:16ZMachine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production10.1038/s41467-021-25831-w2041-1723https://doaj.org/article/c7cf4104a3534f20a86d3e06336ff2932021-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25831-whttps://doaj.org/toc/2041-1723Fatty acyl reductases (FARs) are critical enzymes in the biosynthesis of fatty alcohols and have the ability to directly acces acyl-ACP substrates. Here, authors couple machine learning-based protein engineering framework with gene shuffling to optimize a FAR for the activity on acyl-ACP and improve fatty alcohol production.Jonathan C. GreenhalghSarah A. FahlbergBrian F. PflegerPhilip A. RomeroNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jonathan C. Greenhalgh Sarah A. Fahlberg Brian F. Pfleger Philip A. Romero Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
description	Fatty acyl reductases (FARs) are critical enzymes in the biosynthesis of fatty alcohols and have the ability to directly acces acyl-ACP substrates. Here, authors couple machine learning-based protein engineering framework with gene shuffling to optimize a FAR for the activity on acyl-ACP and improve fatty alcohol production.
format	article
author	Jonathan C. Greenhalgh Sarah A. Fahlberg Brian F. Pfleger Philip A. Romero
author_facet	Jonathan C. Greenhalgh Sarah A. Fahlberg Brian F. Pfleger Philip A. Romero
author_sort	Jonathan C. Greenhalgh
title	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
title_short	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
title_full	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
title_fullStr	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
title_full_unstemmed	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
title_sort	machine learning-guided acyl-acp reductase engineering for improved in vivo fatty alcohol production
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c7cf4104a3534f20a86d3e06336ff293
work_keys_str_mv	AT jonathancgreenhalgh machinelearningguidedacylacpreductaseengineeringforimprovedinvivofattyalcoholproduction AT sarahafahlberg machinelearningguidedacylacpreductaseengineeringforimprovedinvivofattyalcoholproduction AT brianfpfleger machinelearningguidedacylacpreductaseengineeringforimprovedinvivofattyalcoholproduction AT philiparomero machinelearningguidedacylacpreductaseengineeringforimprovedinvivofattyalcoholproduction
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Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production

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