001     872939
005     20220930130228.0
024 7 _ |a 10.1186/s13568-020-0946-7
|2 doi
024 7 _ |a 2128/23966
|2 Handle
024 7 _ |a altmetric:74286673
|2 altmetric
024 7 _ |a pmid:31955268
|2 pmid
024 7 _ |a WOS:000514581800005
|2 WOS
037 _ _ |a FZJ-2020-00399
082 _ _ |a 570
100 1 _ |a Spielmann, Alina
|0 P:(DE-Juel1)166526
|b 0
245 _ _ |a NADPH biosensor-based identification of an alcohol dehydrogenase variant with improved catalytic properties caused by a single charge reversal at the protein surface
260 _ _ |a Heidelberg
|c 2020
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1579675848_10988
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a Biotechnologie 1
520 _ _ |a Alcohol dehydrogenases (ADHs) are used in reductive biotransformations for the production of valuable chiral alcohols. In this study, we used a high-throughput screening approach based on the NADPH biosensor pSenSox and fluorescence-activated cell sorting (FACS) to search for variants of the NADPH-dependent ADH of Lactobacillus brevis (LbADH) with improved activity for the reduction of 2,5-hexanedione to (2R,5R)-hexanediol. In a library of approx. 1.4 × 106 clones created by random mutagenesis we identified the variant LbADHK71E. Kinetic analysis of the purified enzyme revealed that LbADHK71E had a ~ 16% lowered KM value and a 17% higher Vmax for 2,5-hexanedione compared to the wild-type LbADH. Higher activities were also observed for the alternative substrates acetophenone, acetylpyridine, 2-hexanone, 4-hydroxy-2-butanone, and methyl acetoacetate. K71 is solvent-exposed on the surface of LbADH and not located within or close to the active site. Therefore, K71 is not an obvious target for rational protein engineering. The study demonstrates that high-throughput screening using the NADPH biosensor pSenSox represents a powerful method to find unexpected beneficial mutations in NADPH-dependent alcohol dehydrogenases that can be favorable in industrial biotransformations.
536 _ _ |a 581 - Biotechnology (POF3-581)
|0 G:(DE-HGF)POF3-581
|c POF3-581
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Brack, Yannik
|0 P:(DE-Juel1)171836
|b 1
700 1 _ |a van Beek, Hugo
|0 P:(DE-Juel1)167342
|b 2
700 1 _ |a Flachbart, Lion
|0 P:(DE-Juel1)162145
|b 3
700 1 _ |a Sundermeyer, Lea
|0 P:(DE-Juel1)178698
|b 4
700 1 _ |a Baumgart, Meike
|0 P:(DE-Juel1)145489
|b 5
700 1 _ |a Bott, Michael
|0 P:(DE-Juel1)128943
|b 6
|e Corresponding author
773 _ _ |a 10.1186/s13568-020-0946-7
|g Vol. 10, no. 1, p. 14
|0 PERI:(DE-600)2621432-5
|n 1
|p 14
|t AMB express
|v 10
|y 2020
|x 2191-0855
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/872939/files/Spielmann%20et%20al%202020%20AMB%20Expr%2010%2014.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/872939/files/Spielmann%20et%20al%202020%20AMB%20Expr%2010%2014.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:872939
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)178698
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)145489
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)128943
913 1 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|1 G:(DE-HGF)POF3-580
|0 G:(DE-HGF)POF3-581
|2 G:(DE-HGF)POF3-500
|v Biotechnology
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b AMB EXPRESS : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-1-20101118
|k IBG-1
|l Biotechnologie
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-1-20101118
980 _ _ |a APC


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21