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Hydroxamate Assays for High‐Throughput Screening of Transketolase Libraries Against Arylated Substrates

Fúster Fernández, Inés ; Kickstein, Michael ; Fessner, Wolf‐Dieter (2024)
Hydroxamate Assays for High‐Throughput Screening of Transketolase Libraries Against Arylated Substrates.
In: Advanced Synthesis & Catalysis, 2023, 365 (22)
doi: 10.26083/tuprints-00027226
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Item Type: Article
Type of entry: Secondary publication
Title: Hydroxamate Assays for High‐Throughput Screening of Transketolase Libraries Against Arylated Substrates
Language: English
Date: 27 May 2024
Place of Publication: Darmstadt
Year of primary publication: 21 November 2023
Place of primary publication: Weinheim
Publisher: Wiley-VCH
Journal or Publication Title: Advanced Synthesis & Catalysis
Volume of the journal: 365
Issue Number: 22
DOI: 10.26083/tuprints-00027226
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

We recently reported that the transketolase from Geobacillus stearothermophilus (TKgst) upon acyl transfer to nitrosoarenes generates N‐aryl hydroxamic acids (HA). The latter are metal chelating compounds that in the presence of Fe(III) ions form deep‐red complexes. Here, we applied this principle to the development of a colorimetric assay in both solid‐ and liquid‐phase formats for the high‐throughput screening of TKgst and its variants. Screening a set of positive hits from a L382X/D470X library validated the specificity and sensitivity of the assays. The solid surface assay allows a clear distinction between positive and negative colonies by the naked eye in qualitative mode, and further also to measure activity in semi‐quantitative fashion in the liquid‐phase format. The assay will be important for engineering the TKgst enzyme towards improved conversion of aromatic aldehydes by their close structural analogy to nitrosoarenes.

Uncontrolled Keywords: transketolase, hydroxamic acids, iron (III) chelation, high-throughput screening, colorimetric assay
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-272264
Additional Information:

This article also appears in: Hot Topic: Automated Synthesis

Classification DDC: 500 Science and mathematics > 540 Chemistry
Divisions: 07 Department of Chemistry > Clemens-Schöpf-Institut > Organ Chemistry
Date Deposited: 27 May 2024 13:08
Last Modified: 16 Sep 2024 08:45
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27226
PPN: 521516137
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