Evidence mapPaperPMID 41930899Full record

ArticleJournal of chemical information and modeling2026

Identification of Subtype-Selective Binding Sites in the Opioid Receptor Family.

Antoniel A S Gomes, Benoît Guillot, Christian Jelsch, Jesús Giraldo

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In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

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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

4 authors.

Antoniel A S GomesLaboratory of Molecular Neuropharmacology and Bioinformatics, Unitat de Bioestadística and Institut de Neurociències, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.ORCID 0000-0002-1278-7838
Benoît GuillotCRM2, CNRS UMR 7036, Faculté des Sciences et Technologies, Université de Lorraine, Nancy 54000, France.ORCID 0000-0002-9992-4427
Christian JelschCRM2, CNRS UMR 7036, Faculté des Sciences et Technologies, Université de Lorraine, Nancy 54000, France.
Jesús GiraldoLaboratory of Molecular Neuropharmacology and Bioinformatics, Unitat de Bioestadística and Institut de Neurociències, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.ORCID 0000-0001-7082-4695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selectivity is essential in drug discovery for finding or developing more effective opioid modulators. Structure-based approaches and binding kinetics effectively identify potential druggable regions and determine ligand candidates for improved therapies. In this study, we combined molecular dynamics simulations and funnel-metadynamics with charge density analyses to identify unique structural aspects of the main opioid receptors (ORs), including the mu (μOR), delta (δOR), and kappa (κOR). We found distinct conformational dynamics between the receptors, with the κOR extracellular vestibule tending to form a lid that covers its orthosteric site. Furthermore, we investigated how morphinan-scaffold ligands with distinct pharmacological effects bind to OR orthosteric sites and extracellular vestibules, identifying intermediate ligand states. The lowest-energy states of each complex reproduced the morphinan-like orientation revealed by experimental structures and experimental free energy of binding. Moreover, we determined the role of orthosteric subpockets and extracellular loops (ECLs) in stabilizing ligand-bound states, shedding light on ligand selectivity. Our results provide a detailed description, from an energetic perspective, of the conformational dynamics and structure-based selectivity determination within the OR family. These regions can be rationally targeted for designing and developing functionally selective opioid modulators with improved pharmacological effects in pain treatment or other OR-related diseases.

Indexed as

Molecular Dynamics SimulationReceptors, OpioidBinding SitesLigandsMorphinansProtein BindingProtein ConformationThermodynamicsLigandsMorphinansReceptors, Opioid

Identifiers

PMID41930899
PMCPMC13126641

What Socratic holds

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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 Socratic graph.