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@MISC{Weingartner:785777,
author = {Weingartner, Alexandra Maria and Ruff, Anna Joelle and
Schwaneberg, Ulrich and Davari, Mehdi D. and Sauer, Daniel
F. and Dhoke, Gaurao V.},
title = {{D}ataset to "{A} hydroquinone-specific screening system
for directed {P}450 evolution"},
reportid = {RWTH-2020-03484},
year = {2020},
abstract = {In direct evolution, an effective screening strategy is
crucial for the identification of improved enzymes with
desired characteristics in large mutant libraries. In the
manuscript “A hydroquinone specific screening system for
directed enzyme evolution” (A. M. Weingartner, D. F.
Sauer, G. V. Dhoke, M. D. Davari, A. J. Ruff, and U.
Schwaneberg, Appl Microbiol Biotechnol. 2018; 102(22):
9657–9667. doi: 10.1007/s00253-018-9328-3), we report a
first screening system designed for screening of P450
variants capable to produce hydroquinones. The hydroquinone
quantification assay is based on the interaction of
4-Nitrophenylacetonitrile (NpCN) with hydroquinones under
alkaline conditions. The NpCN assay can be used for the
quantification of dihydroxylated aromatic compounds such as
hydroquinones, catechols and benzoquinones. We chose the
hydroxylation of pseudocumene by P450 BM3 as a target
reaction and screened for improved trimethylhydroquinone
(TMHQ) formation. Here the dataset to the above mentioned
manuscript is reported. Source Data of the NMR spectra (Fig1
and FigS1) are given as well as source data in Excel format
to display the spectra of the hydroquinones (FigS3), the
linear detection range of the assay of different
hydroquinones (FigS6) or of TMHQ (Fig2) and screening data
of the SSM library on position 330 with the NpCN assay
(FigS7). In the description of dataset a summary of the
collected source data is given.},
cin = {162610 / 160000},
cid = {$I:(DE-82)162610_20140620$ / $I:(DE-82)160000_20140620$},
pnm = {ROBOX - Expanding the industrial use of Robust Oxidative
Biocatalysts for the conversion and production of alcohols
(ROBOX) (635734)},
pid = {G:(EU-Grant)635734},
typ = {PUB:(DE-HGF)32},
doi = {10.18154/RWTH-2020-03484},
url = {https://publications.rwth-aachen.de/record/785777},
}