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Enzymatic characterization of a recombinant carbonyl reductase from Acetobacter sp. CCTCC M209061

Overview of attention for article published in Bioresources and Bioprocessing, August 2017
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Title
Enzymatic characterization of a recombinant carbonyl reductase from Acetobacter sp. CCTCC M209061
Published in
Bioresources and Bioprocessing, August 2017
DOI 10.1186/s40643-017-0169-1
Pubmed ID
Authors

Ping Wei, Yu-Han Cui, Min-Hua Zong, Pei Xu, Jian Zhou, Wen-Yong Lou

Abstract

Acetobacter sp. CCTCC M209061 could catalyze carbonyl compounds to chiral alcohols following anti-Prelog rule with excellent enantioselectivity. Therefore, the enzymatic characterization of carbonyl reductase (CR) from Acetobacter sp. CCTCC M209061 needs to be investigated. A CR from Acetobacter sp. CCTCC M209061 (AcCR) was cloned and expressed in E. coli. AcCR was purified and characterized, finding that AcCR as a dual coenzyme-dependent short-chain dehydrogenase/reductase (SDR) was more preferred to NADH for biocatalytic reactions. The AcCR was activated and stable when the temperature was under 35 °C and the pH range was from 6.0 to 8.0 for the reduction of 4'-chloroacetophenone with NADH as coenzyme, and the optimal temperature and pH were 45 °C and 8.5, respectively, for the oxidation reaction of isopropanol with NAD(+). The enzyme showed moderate thermostability with half-lives of 25.75 h at 35 °C and 13.93 h at 45 °C, respectively. Moreover, the AcCR has broad substrate specificity to a range of ketones and ketoesters, and could catalyze to produce chiral alcohol with e.e. >99% for the majority of tested substrates following the anti-Prelog rule. The recombinant AcCR exhibited excellent enantioselectivity, broad substrate spectrum, and highly stereoselective anti-Prelog reduction of prochiral ketones. These results suggest that AcCR is a powerful catalyst for the production of anti-Prelog alcohols.Graphical abstractThe biocatalytic reactions conducted with the recombinant AcCR.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Agricultural and Biological Sciences 3 17%
Medicine and Dentistry 2 11%
Design 1 6%
Unknown 6 33%