The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/381d8fff-ad93-47f6-bc07-51eca64adee7

Wolder, Allison; Heckmann, Christian; Hagedoorn, Peter-Leon; Opperman, Diederik J.; Paul, Caroline (2024): Data underlying the publication: Asymmetric mono-reduction of α,β-dicarbonyls to α-hydroxy carbonyls by ene reductases. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/381d8fff-ad93-47f6-bc07-51eca64adee7.v2

Dataset

x choose version: version 1 - 2024-09-26

• Other Chemical Sciences
• Chemical Sciences

biocataysis, chiral alcohols, dicarbonyls, ene reductases, ERED, Old Yellow enzymes, OYE

2024

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Allison Wolder , Christian Heckmann , Peter-Leon Hagedoorn , Diederik J. Opperman , Caroline Paul

This is a dataset that is used in the manuscript "Asymmetric mono-reduction of α,β-dicarbonyls to α-hydroxy carbonyls by ene reductases". Our aim in this manuscript is to show that OYE family of enzymes are able to catalyze the reduction of vicinal diketones. The dataset includes Nuclear Magnetic Resonance (NMR) Spectrometer results in MestReNova files, where each file is labelled as its reference from the manuscript figure. We also provide Gas Chromatography (GC) and High Pressure Liquid Chromatography (HPLC) data in the form of excel where chromatograms and the area and retention times have been copy/pasted. Along side those data are the calculations used to formulate the tables or figures in the manuscript, and are labelled according to their tables and figures as shown in the manuscript.

• 2024-09-26 first online

• 2024-10-10 published, posted

4TU.ResearchData

Excel, MestreNova

Asymmetric Monoreduction of α,β-Dicarbonyls to α-Hydroxy Carbonyls by Ene Reductases

• European Union's Horizon 2020 research and innovation programme (grant code 949910) European Research Council
• MSCA (grant code 101062327) European Union

TU Delft, Faculty of Applied Sciences, Department of Biotechnology