Evidence map›Paper›PMID 40185362›Full record

ArticleNeuropharmacology2025

A putative binding model of nitazene derivatives at the μ-opioid receptor.

Joseph Clayton, Lei Shi, Michael J Robertson, Georgios Skiniotis, Michael Michaelides, Lidiya Stavitskaya, Jana Shen

Abstract read
In one paragraph

Article in Neuropharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Slow Dissociation of Nitazenes from thebioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Joseph ClaytonDivision of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, 20993, USA; Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD, 21201, USA.
Lei ShiComputational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse, NIH/DHHS, 333 Cassell Drive, Baltimore, MD, 21224, USA.
Michael J RobertsonDepartment of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Georgios SkiniotisDepartment of Molecular and Cellular Physiology, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Michael MichaelidesBiobehavioral Imaging & Molecular Neuropsychopharmacology Section, Neuroimaging Research Branch, National Institute on Drug Abuse, 333 Cassell Drive, Baltimore, MD, 21224, USA.
Lidiya StavitskayaDivision of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, 20993, USA. Electronic address: Lidiya.Stavitskaya@fda.hhs.gov.
Jana ShenDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD, 21201, USA. Electronic address: jana.shen@rx.umaryland.edu.

Funding

Structural basis for the functions of dopamine receptors, neurotransmitter transporters, and sigma 1 receptorZIADA000606 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI SHI, LEI · 2015 to 2025
$20.5M
Biobehavioral Imaging and Molecular Neuropsychopharmacology of Substance Abuse MechanismsZIADA000069 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI MICHAELIDES, MICHAEL · 2016 to 2025
$18.9M
Molecular mechanisms of proton-coupled dynamic processes in biologyR35GM148261 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI Jana Shen · 2023 to 2026
$1.5M
A Multi-pronged Computational Approach to Advance Kinase Drug DiscoveryR01CA256557 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHEN, JANA · 2021 to 2024
$1.4M
Intramural NIH HHS ZIA DA000069Intramural NIH HHS ZIA DA000606NCI NIH HHS R01 CA256557NIGMS NIH HHS R35 GM148261
6 · The paper itself

Abstract

Nitazenes are a class of novel synthetic opioids with exceptionally high potency. Currently, an experimental structure of μOR-opioid receptor (μOR) in complex with a nitazene is lacking. Here we used a suite of computational tools, including consensus docking, conventional molecular dynamics (MD) and metadynamics simulations, to investigate the μOR binding modes of nitro-containing meto-, eto-, proto-, buto-, and isotonitazenes and nitro-less analogs, metodes-, etodes-, and protodesnitazenes. Docking generated three binding modes, whereby the nitro-substituted or unsubstituted benzimidazole group extends into SP1 (subpocket 1 between transmembrane helix or TM 2 and 3), SP2 (subpocket 2 between TM1, TM2, and TM7) or SP3 (subpocket 3 between TM5 and TM6). Simulations suggest that etonitazene and likely also other nitazenes favor the SP2-binding mode. Comparison to the experimental structures of μOR in complex with BU72, fentanyl, and mitragynine pseudoindoxyl (MP) allows us to propose a putative model for μOR-ligand recognition in which ligand can access hydrophobic SP1 or hydrophilic SP2, mediated by the conformational change of Gln124

Indexed as

Analgesics, OpioidReceptors, Opioid, muBinding SitesHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingAnalgesics, OpioidReceptors, Opioid, mu

Identifiers

PMID40185362
PMCPMC12279083

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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 OpenQuestion graph.