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Journal articles
Large scale active-learning-guided exploration for in vitro protein production optimization
Abstract : Lysate-based cell-free systems have become a major platform to study gene expression but batch-to-batch variation makes protein production difficult to predict. Here we describe an active learning approach to explore a combinatorial space of~4,000,000 cell-free buffer compositions, maximizing protein production and identifying critical parameters involved in cell-free productivity. We also provide a one-step-method to achieve high quality predictions for protein production using minimal experimental effort regardless of the lysate quality.
Cited literature [31 references]
https://hal-pasteur.archives-ouvertes.fr/pasteur-02552065
Contributor : Agnes Zettor <>
Submitted on : Thursday, April 23, 2020 - 11:54:29 AM
Last modification on : Friday, October 23, 2020 - 3:59:00 PM
Contributor : Agnes Zettor <>
Submitted on : Thursday, April 23, 2020 - 11:54:29 AM
Last modification on : Friday, October 23, 2020 - 3:59:00 PM
File
s41467-020-15798-5.pdf
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Distributed under a Creative Commons Attribution 4.0 International License