Large scale active-learning-guided exploration for in vitro protein production optimization

Cell-free lysates are a major platform for in vitro protein production but batch-to-batch variation makes production difficult to predict. Here the authors develop an active learning approach to optimising buffer conditions to bring homemade lysates up to commercial production potential.

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Autores principales:	Olivier Borkowski, Mathilde Koch, Agnès Zettor, Amir Pandi, Angelo Cardoso Batista, Paul Soudier, Jean-Loup Faulon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/94a3b8e52cf24f769347e3c91609b690
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spelling	oai:doaj.org-article:94a3b8e52cf24f769347e3c91609b6902021-12-02T14:41:01ZLarge scale active-learning-guided exploration for in vitro protein production optimization10.1038/s41467-020-15798-52041-1723https://doaj.org/article/94a3b8e52cf24f769347e3c91609b6902020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15798-5https://doaj.org/toc/2041-1723Cell-free lysates are a major platform for in vitro protein production but batch-to-batch variation makes production difficult to predict. Here the authors develop an active learning approach to optimising buffer conditions to bring homemade lysates up to commercial production potential.Olivier BorkowskiMathilde KochAgnès ZettorAmir PandiAngelo Cardoso BatistaPaul SoudierJean-Loup FaulonNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Olivier Borkowski Mathilde Koch Agnès Zettor Amir Pandi Angelo Cardoso Batista Paul Soudier Jean-Loup Faulon Large scale active-learning-guided exploration for in vitro protein production optimization
description	Cell-free lysates are a major platform for in vitro protein production but batch-to-batch variation makes production difficult to predict. Here the authors develop an active learning approach to optimising buffer conditions to bring homemade lysates up to commercial production potential.
format	article
author	Olivier Borkowski Mathilde Koch Agnès Zettor Amir Pandi Angelo Cardoso Batista Paul Soudier Jean-Loup Faulon
author_facet	Olivier Borkowski Mathilde Koch Agnès Zettor Amir Pandi Angelo Cardoso Batista Paul Soudier Jean-Loup Faulon
author_sort	Olivier Borkowski
title	Large scale active-learning-guided exploration for in vitro protein production optimization
title_short	Large scale active-learning-guided exploration for in vitro protein production optimization
title_full	Large scale active-learning-guided exploration for in vitro protein production optimization
title_fullStr	Large scale active-learning-guided exploration for in vitro protein production optimization
title_full_unstemmed	Large scale active-learning-guided exploration for in vitro protein production optimization
title_sort	large scale active-learning-guided exploration for in vitro protein production optimization
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/94a3b8e52cf24f769347e3c91609b690
work_keys_str_mv	AT olivierborkowski largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT mathildekoch largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT agneszettor largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT amirpandi largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT angelocardosobatista largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT paulsoudier largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization AT jeanloupfaulon largescaleactivelearningguidedexplorationforinvitroproteinproductionoptimization
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Large scale active-learning-guided exploration for in vitro protein production optimization

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