Evidence map›Paper›PMID 39062473›Full record

ArticleBiomolecules2024

Structural Analysis of the

Nicolas Petiot, Mathieu Schwartz, Patrice Delarue, Patrick Senet, Fabrice Neiers, Adrien Nicolaï

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Nicolas PetiotLaboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne, 21078 Dijon, France.
Mathieu SchwartzFlavour Perception: Molecular Mechanims (Flavours), INRAE, CNRS-Université de Bourgogne, 21000 Dijon, France.ORCID 0000-0002-2670-5274
Patrice DelarueLaboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne, 21078 Dijon, France.
Patrick SenetLaboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne, 21078 Dijon, France.
Fabrice NeiersFlavour Perception: Molecular Mechanims (Flavours), INRAE, CNRS-Université de Bourgogne, 21000 Dijon, France.ORCID 0000-0002-8965-4929
Adrien NicolaïLaboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne, 21078 Dijon, France.ORCID 0000-0001-7779-4652

Funding

Agence Nationale de la Recherche ANR-17-EURE-0002the Conseil Régional de Bourgogne-Franche-Comté and the European Union PO FEDER-FSE Bourgogne 2021/2027
6 · The paper itself

Abstract

Glutathione transferase (GST) is a superfamily of ubiquitous enzymes, multigenic in numerous organisms and which generally present homodimeric structures. GSTs are involved in numerous biological functions such as chemical detoxification as well as chemoperception in mammals and insects. GSTs catalyze the conjugation of their cofactor, reduced glutathione (GSH), to xenobiotic electrophilic centers. To achieve this catalytic function, GSTs are comprised of a ligand binding site and a GSH binding site per subunit, which is very specific and highly conserved; the hydrophobic substrate binding site enables the binding of diverse substrates. In this work, we focus our interest in a model organism, the fruit fly

Indexed as

Drosophila melanogasterGlutathione TransferaseAmino Acid SequenceAnimalsBinding SitesCrystallography, X-RayDrosophila ProteinsGlutathioneModels, MolecularProtein MultimerizationDrosophila ProteinsGlutathioneGlutathione TransferaseAlphaFoldbinding sitesdimerization interfaceDrosophila melanogasterglutathione transferasemultiple sequence alignmentnormal mode analysis

Identifiers

PMID39062473
PMCPMC11274691

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.