Evidence map›Paper›PMID 40566963›Full record

ArticleJournal of chemical information and modeling2025

Identification of New Human P2X7 Antagonists Using Ligand- and Structure-Based Virtual Screening.

Marika Zuanon, Andrea Brancale, Mark T Young

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 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. Review
  2. Review
  3. NewLife (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. 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

3 authors.

Marika ZuanonSchool of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff CF10 3AT, United Kingdom.
Andrea BrancaleDepartment of Organic Chemistry, University of Chemistry and Technology, Prague 166 28, Czech Republic.ORCID 0000-0002-9728-3419
Mark T YoungSchool of Biosciences, Cardiff University, Sir Martin Evans Building, Cardiff CF10 3AT, United Kingdom.ORCID 0000-0002-9615-9002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

P2X7 receptors, a subtype of ATP-gated cation channel, have gained attention due to their involvement in inflammatory and neurodegenerative diseases, chronic pain, and cancer. However, despite extensive medicinal chemistry efforts, no P2X7 antagonists have reached clinical approval due to suboptimal pharmacokinetic properties, poor selectivity, and insufficient efficacy in comparison to placebo controls. To address these challenges, we employed a virtual screening workflow integrating ligand-based and structure-based approaches to identify novel P2X7 allosteric antagonists. A 3D pharmacophore model derived from three known P2X7 antagonists (A740003, A804598, and JNJ47965567) was used to filter four libraries of commercially available compounds (approximately 10,000,000 total). These compounds were docked into a human P2X7 homology model and ranked by four distinct scoring functions. Eleven compounds were selected based on drug-like properties and key interactions with residues lining the target pocket. Among those, six compounds inhibited P2X7 activation in a YO-PRO 1 dye uptake assay (30 μM), while just two of those (

Indexed as

Purinergic P2X Receptor AntagonistsReceptors, Purinergic P2X7User-Computer InterfaceDrug Evaluation, PreclinicalHumansLigandsMolecular Docking SimulationLigandsPurinergic P2X Receptor AntagonistsReceptors, Purinergic P2X7

Identifiers

PMID40566963
PMCPMC12264943

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.