Evidence map›Paper›PMID 42870060›Full record

ReviewNature reviews. Molecular cell biology2026

Atomic, structural and molecular insights into GPCR ligand binding and signalling.

Katarina Nemec, Bálint Mészáros, Georgios Skiniotis, Scott C Blanchard, M Madan Babu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Katarina NemecCenter of Excellence for Data-Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA. nemec.katarina@gmail.com.
Bálint MészárosCenter of Excellence for Data-Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Georgios SkiniotisDepartment of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Scott C BlanchardDepartment of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
M Madan BabuCenter of Excellence for Data-Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA. madan.babu@stjude.org.ORCID http://orcid.org/0000-0003-0556-6196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G-protein-coupled receptors (GPCRs) are the largest group of human membrane proteins, comprising over 800 members, and represent the most common target of therapeutics. GPCRs orchestrate context-dependent functions and have diverse physiological roles. Recent advances have enabled the exploration of GPCR structure, function and regulation, leading to a deeper understanding of their signalling complexity. In this Review, we synthesize these advances at different scales of increasing complexity and discuss atomic-level, structural-level and molecular-level insights into GPCR signalling. Specifically, we highlight the context-dependent mechanisms by which GPCRs translate extracellular cues into intracellular signals through ligand recognition, ligand-induced conformational changes, engagement with different adaptors and interactions with various molecular pathways, as well as how these processes are modulated during disease, and the new therapeutic opportunities they present. Through inter-disciplinary efforts aimed at elucidating GPCR multiscale signalling, we are approaching a holistic understanding that will inform the rational development of specific, effective and safer medicines.

Identifiers

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.