Evidence map›Paper›PMID 31605652›Full record

ArticleChembiochem : a European journal of chemical biology2020

Modeling Alcohol Dehydrogenase Catalysis in Deep Eutectic Solvent/Water Mixtures.

Lei Huang, Jan Philipp Bittner, Pablo Domínguez de María, Sven Jakobtorweihen, Selin Kara

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 citing papers in PubMed.

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  13. Modeling Alcohol Dehydrogenase Catalysis in Deep Eutectic Solvent/Water Mixtures.Chembiochem : a European journal of chemical biology · 2020
    Article
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.

Lei HuangDepartment of Engineering, Biocatalysis and Bioprocessing Group, Aarhus University, Gustav Wieds Vej 10, 8000, Aarhus, Denmark.
Jan Philipp BittnerInstitute of Thermal Separation Processes, Hamburg University of Technology, Eißendorfer Strasse 38, 21073, Hamburg, Germany.
Pablo Domínguez de MaríaSustainable Momentum S.L., Av. Ansite 3, 4-6, 35011, Las Palmas de Gran Canaria, Canary Islands, Spain.
Sven JakobtorweihenInstitute of Thermal Separation Processes, Hamburg University of Technology, Eißendorfer Strasse 38, 21073, Hamburg, Germany.ORCID 0000-0001-5492-8304
Selin KaraDepartment of Engineering, Biocatalysis and Bioprocessing Group, Aarhus University, Gustav Wieds Vej 10, 8000, Aarhus, Denmark.ORCID 0000-0001-6754-2814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of oxidoreductases (EC1) in non-conventional reaction media has been increasingly explored. In particular, deep eutectic solvents (DESs) have emerged as a novel class of solvents. Herein, an in-depth study of bioreduction with an alcohol dehydrogenase (ADH) in the DES glyceline is presented. The activity and stability of ADH in mixtures of glyceline/water with varying water contents were measured. Furthermore, the thermodynamic water activity and viscosity of mixtures of glyceline/water have been determined. For a better understanding of the observations, molecular dynamics simulations were performed to quantify the molecular flexibility, hydration layer, and intraprotein hydrogen bonds of ADH. The behavior of the enzyme in DESs follows the classic dependence of water activity (a

Indexed as

Models, BiologicalAlcohol DehydrogenaseBiocatalysisHydrogen BondingMolecular Dynamics SimulationPterocarpansSolventsWaterAlcohol DehydrogenaseglyceollinPterocarpansSolventsWateralcohol dehydrogenasedeep eutectic solventsmolecular dynamicssolvent effectsthermodynamics

Identifiers

PMID31605652
PMCPMC7154551

What OpenQuestion holds

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Registered trials

None linked

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.