Evidence map›Paper›PMID 35648642›Full record

ArticleChembiochem : a European journal of chemical biology2022

Exploring the Temperature Effect on Enantioselectivity of a Baeyer-Villiger Biooxidation by the 2,5-DKCMO Module: The SLM Approach.

Robert Röllig, Caroline E Paul, Katia Duquesne, Selin Kara, Véronique Alphand

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Robert RölligAix-Marseille Univ, CNRS, Centrale Marseille, iSm2 UMR CMRS 7313, Aix-Marseille Université, Pôle de l'Etoile Avenue Escadrille Normandie Niemen, 13397, Marseille, France.ORCID 0000-0001-9940-6788
Caroline E PaulDepartment of Biotechnology, Delft University of Technology, Van der Maasweg 9, Delft, 2629 HZ, The Netherlands.ORCID 0000-0002-7889-9920
Katia DuquesneAix-Marseille Univ, CNRS, Centrale Marseille, iSm2 UMR CMRS 7313, Aix-Marseille Université, Pôle de l'Etoile Avenue Escadrille Normandie Niemen, 13397, Marseille, France.ORCID 0000-0001-7668-9180
Selin KaraBiocatalysis and Bioprocessing Group, Department of Biological and Chemical Engineering, Aarhus University, Gustav Wieds Vej 10, Aarhus, 8000 Aarhus C, Denmark.
Véronique AlphandAix-Marseille Univ, CNRS, Centrale Marseille, iSm2 UMR CMRS 7313, Aix-Marseille Université, Pôle de l'Etoile Avenue Escadrille Normandie Niemen, 13397, Marseille, France.ORCID 0000-0001-6855-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temperature is a crucial parameter for biological and chemical processes. Its effect on enzymatically catalysed reactions has been known for decades, and stereo- and enantiopreference are often temperature-dependent. For the first time, we present the temperature effect on the Baeyer-Villiger oxidation of rac-bicyclo[3.2.0]hept-2-en-6-one by the type II Bayer-Villiger monooxygenase, 2,5-DKCMO. In the absence of a reductase and driven by the hydride-donation of a synthetic nicotinamide analogue, the clear trend for a decreasing enantioselectivity at higher temperatures was observed. "Traditional" approaches such as the determination of the enantiomeric ratio (E) appeared unsuitable due to the complexity of the system. To quantify the trend, we chose to use the 'Shape Language Modelling' (SLM), a tool that allows the reaction to be described at all points in a shape prescriptive manner. Thus, without knowing the equation of the reaction, the substrate ee can be estimated that at any conversion.

Indexed as

Escherichia coliMixed Function OxygenasesOxidation-ReductionTemperatureMixed Function Oxygenaseschemoenzymatic Baeyer-Villiger oxidationkinetic resolutionShape Language Modelingtemperature-dependent enantioselectivity

Identifiers

PMID35648642
PMCPMC9400988

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.