Evidence map›Paper›PMID 37374917›Full record

ArticleMicroorganisms2023

Combinatory Library of Microorganisms in the Selection of Reductive Activity Applied to a Ketone Mixture: Unexpected Highlighting of an Enantioselective Oxidative Activity.

Sofiane Ali Rachedi, Maximillien Genest, Stéphane Mann, Didier Buisson

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Sofiane Ali RachediUnité Molécules de Communication et Adaptation des Microorganismes, Muséum National d'Histoire Naturelle, CNRS UMR 7245, CP54, 57 rue Cuvier (63 rue Buffon), 75005 Paris, France.
Maximillien GenestUnité Molécules de Communication et Adaptation des Microorganismes, Muséum National d'Histoire Naturelle, CNRS UMR 7245, CP54, 57 rue Cuvier (63 rue Buffon), 75005 Paris, France.
Stéphane MannUnité Molécules de Communication et Adaptation des Microorganismes, Muséum National d'Histoire Naturelle, CNRS UMR 7245, CP54, 57 rue Cuvier (63 rue Buffon), 75005 Paris, France.
Didier BuissonUnité Molécules de Communication et Adaptation des Microorganismes, Muséum National d'Histoire Naturelle, CNRS UMR 7245, CP54, 57 rue Cuvier (63 rue Buffon), 75005 Paris, France.ORCID 0000-0001-8323-386X
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biocatalytic processes are increasingly used in organic synthesis for the preparation of targeted molecules or the generation of molecular diversity. The search for the biocatalyst is often the bottleneck in the development of the process. We described a combinatorial approach for the selection of active strains from a library of microorganisms. In order to show the potential of the method we applied it to a mixture of substrates. We were able to select yeast strains capable of producing enantiopure alcohol from corresponding ketones with very few tests and highlight tandem reaction sequences involving several microorganisms. We demonstrate an interest in the kinetic study and the importance of incubation conditions. This approach is a promising tool for generating new products.

Indexed as

deracemizationenantioselective oxidationtandem biocatalysiswhole cell screening

Identifiers

PMID37374917
PMCPMC10305621
OpenAlexW4378575108

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.