Data underlying the chapter in thesis Ene redutases as versatile Biocatalysts titled Stereoselective allene reduction catalysed by ene reductases to synthesize β,γ-unsaturated carbonyl compounds

doi:10.4121/6ea5e4a3-a048-4f77-817c-1c3a63891b25.v1
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: 10.4121/6ea5e4a3-a048-4f77-817c-1c3a63891b25
Datacite citation style:
Wolder, Allison; Heckmann, Christian; van der Velden, Yasmin; Opperman, Diederik J.; Paul, Caroline (2025): Data underlying the chapter in thesis Ene redutases as versatile Biocatalysts titled Stereoselective allene reduction catalysed by ene reductases to synthesize β,γ-unsaturated carbonyl compounds. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6ea5e4a3-a048-4f77-817c-1c3a63891b25.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This research explored the reduction reaction using biocatalysts (Old yellow enzymes) on Allene substrates. The results were measured on Gas chromatography and are included here in excel form with chromatograms and calculations labelled per substrate number as indicated in the thesis chapter. Also included are the raw data files of the NMR from the extracted reactions, also numbered as per substrate, in the software MNova (Mestrelab). The kinetic data is provided in the analysis software Igor Pro 7 file (WaveMetrics, Lake Oswego, OR, USA).

history
  • 2025-01-16 first online, published, posted
publisher
4TU.ResearchData
format
Excel, mnova, PXP
funding
  • European Union's Horizon 2020 research and innovation programme (grant code 949910) European Research Council (ERC)
  • MSCA (grant code 101062327) European Union
organizations
TU Delft, Faculty of Applied Sciences, Department of Biotechnology, Biocatalysis section

DATA

files (10)