Evidence map›Paper›PMID 39426952›Full record

ArticleNature communications2024

A millisecond coarse-grained simulation approach to decipher allosteric cannabinoid binding at the glycine receptor α1.

Alessio Bartocci, Andrea Grazzi, Nour Awad, Pierre-Jean Corringer, Paulo C T Souza, Marco Cecchini

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025
    Review
  3. 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

6 authors.

Alessio BartocciInstitut de Chimie de Strasbourg, UMR7177, CNRS, Université de Strasbourg, Strasbourg Cedex, 67083, France.ORCID 0000-0001-9413-0663
Andrea GrazziInstitut de Chimie de Strasbourg, UMR7177, CNRS, Université de Strasbourg, Strasbourg Cedex, 67083, France.ORCID 0009-0007-9270-8362
Nour AwadInstitut Pasteur, Université de Paris, CNRS UMR3571, Channel-Receptors Unit, Paris, France.
Pierre-Jean CorringerInstitut Pasteur, Université de Paris, CNRS UMR3571, Channel-Receptors Unit, Paris, France.
Paulo C T SouzaLaboratoire de Biologie et Modélisation de la Cellule, CNRS, UMR 5239, Inserm, U1293, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, 46 Allée d'Italie, 69364, Lyon, France.ORCID 0000-0003-0660-1301
Marco CecchiniInstitut de Chimie de Strasbourg, UMR7177, CNRS, Université de Strasbourg, Strasbourg Cedex, 67083, France. mcecchini@unistra.fr.ORCID 0000-0003-2671-1583

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-18- CE11-0015EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 788974 (Dynacotine)EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 956314 (ALLODD)
6 · The paper itself

Abstract

Glycine receptors (GlyR) are regulated by small-molecule binding at several allosteric sites. Cannabinoids like tetrahydrocannabinol (THC) and N-arachidonyl-ethanol-amide (AEA) potentiate the GlyR response but their mechanism of action is not fully established. By combining millisecond coarse-grained (CG) MD simulations powered by Martini 3 with backmapping to all-atom representations, we have characterized the cannabinoid-binding site(s) at the zebrafish GlyR-α1 active state with atomic resolution. Based on hundreds of thousand ligand-binding events, we find that cannabinoids bind to the transmembrane domain of the receptor at both intrasubunit and intersubunit sites. For THC, the intrasubunit binding mode predicted in simulation is in excellent agreement with recent cryo-EM structures, while intersubunit binding recapitulates in full previous mutagenesis experiments. Intriguingly, AEA is predicted to bind at the same intersubunit site despite the strikingly different chemistry. Statistical analyses of the ligand-receptor interactions highlight potentially relevant residues for GlyR potentiation, offering experimentally testable predictions. The predictions for AEA have been validated by electrophysiology recordings of rationally designed mutants. The results highlight the existence of multiple cannabinoid-binding sites for the allosteric regulation of GlyR and put forward an effective strategy for the identification and structural characterization of allosteric binding sites.

Indexed as

Allosteric SiteArachidonic AcidsDronabinolMolecular Dynamics SimulationReceptors, GlycineZebrafishAllosteric RegulationAnimalsBinding SitesCannabinoidsCryoelectron MicroscopyEndocannabinoidsLigandsPolyunsaturated AlkamidesProtein BindinganandamideArachidonic AcidsCannabinoidsDronabinolEndocannabinoidsLigandsPolyunsaturated AlkamidesReceptors, Glycine

Identifiers

PMID39426952
PMCPMC11490541

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.