Evidence map›Paper›PMID 41506868›Full record

ArticleJournal of medicinal chemistry2026

Two-Step Ligand-Directed Covalent Fluorescent Labeling of the Adenosine A

Chia-Yang Lin, Simon Platt, Joelle Goulding, Stephen J Briddon, Nicholas D Kindon, Clare R Harwood, Chih-Wei Lai, Barrie Kellam, Stephen J Hill

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2026. 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

9 authors.

Chia-Yang LinSchool of Pharmacy, Division of Bimolecular Science and Medicinal Chemistry, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, U.K.
Simon PlattCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, The Midlands, Nottingham NG7 2UH, U.K.
Joelle GouldingCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, The Midlands, Nottingham NG7 2UH, U.K.ORCID 0000-0002-6227-4483
Stephen J BriddonCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, The Midlands, Nottingham NG7 2UH, U.K.
Nicholas D KindonSchool of Pharmacy, Division of Bimolecular Science and Medicinal Chemistry, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, U.K.
Clare R HarwoodCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, The Midlands, Nottingham NG7 2UH, U.K.
Chih-Wei LaiSchool of Pharmacy, National Defense Medical University, Taipei 114201, Taiwan.
Barrie KellamSchool of Pharmacy, Division of Bimolecular Science and Medicinal Chemistry, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, U.K.ORCID 0000-0003-0030-9908
Stephen J HillCentre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, The Midlands, Nottingham NG7 2UH, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic tagging of G protein-coupled receptors (GPCRs) with bioluminescent or fluorescent proteins is a well-established method for the study of ligand-binding and protein-protein interactions using resonance energy transfer approaches. Here we present a two-step, ligand-directed covalent labeling (LDCL) method that allows attachment of different fluorescent labels to an untagged adenosine A

Indexed as

Fluorescent DyesReceptor, Adenosine A1AnimalsBinding SitesClick ChemistryHumansLigandsProtein BindingFluorescent DyesLigandsReceptor, Adenosine A1

Identifiers

PMID41506868
PMCPMC12910660

What OpenQuestion holds

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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.