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A growth selection system for the directed evolution of amine-forming or converting enzymes.

Authors :
Wu, Shuke
Xiang, Chao
Zhou, Yi
Khan, Mohammad Saiful Hasan
Liu, Weidong
Feiler, Christian G.
Wei, Ren
Weber, Gert
Höhne, Matthias
Bornscheuer, Uwe T.
Source :
Nature Communications; 12/3/2022, Vol. 13 Issue 1, p1-10, 10p
Publication Year :
2022

Abstract

Fast screening of enzyme variants is crucial for tailoring biocatalysts for the asymmetric synthesis of non-natural chiral chemicals, such as amines. However, most existing screening methods either are limited by the throughput or require specialized equipment. Herein, we report a simple, high-throughput, low-equipment dependent, and generally applicable growth selection system for engineering amine-forming or converting enzymes and apply it to improve biocatalysts belonging to three different enzyme classes. This results in (i) an amine transaminase variant with 110-fold increased specific activity for the asymmetric synthesis of the chiral amine intermediate of Linagliptin; (ii) a 270-fold improved monoamine oxidase to prepare the chiral amine intermediate of Cinacalcet by deracemization; and (iii) an ammonia lyase variant with a 26-fold increased activity in the asymmetric synthesis of a non-natural amino acid. Our growth selection system is adaptable to different enzyme classes, varying levels of enzyme activities, and thus a flexible tool for various stages of an engineering campaign. Fast screening of enzymes is key for directed evolution of industrial biocatalysts. Here, the authors report a simple, high-throughput, and low-equipment-dependent growth selection system for engineering three enzymes for synthesis of chiral amines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
160555057
Full Text :
https://doi.org/10.1038/s41467-022-35228-y