Evidence map›Paper›PMID 41028323›Full record

ReviewHandbook of experimental pharmacology2026

Structural Basis of GPCR-Biased Modulation.

Yan Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Handbook of experimental pharmacology, 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

1 author.

Yan ZhangZhejiang University, Hangzhou, China. zhang_yan@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) constitute the largest superfamily of membrane receptors in humans and serve as crucial targets for drug development. These receptors engage multiple downstream signaling pathways, including various G-proteins and arrestins, each of which can elicit distinct physiological and pathological responses. Understanding the mechanisms of biased signaling among these pathways is vital for designing more effective drugs with reduced side effects. In this chapter, we summarize the current understanding of how GPCRs selectively couple to different signaling proteins. We delve into the structural insights derived from recent studies, which reveal how ligands can stabilize specific receptor conformations, thereby favoring particular signaling pathways over others. Furthermore, we highlight various biased ligands and their mechanisms of action, emphasizing their therapeutic potential. These findings provide a critical structural foundation for future drug discovery and optimization efforts, paving the way for more targeted and safer pharmacological interventions. Through a deeper comprehension of biased signaling mechanisms, we aim to enhance the efficacy and safety profiles of new therapeutic agents.

Indexed as

Receptors, G-Protein-CoupledAnimalsHumansLigandsProtein ConformationSignal TransductionStructure-Activity RelationshipLigandsReceptors, G-Protein-CoupledBiased signalingGPCRG proteinLigand modulationSelectivityStructureArrestin

Identifiers

What OpenQuestion holds

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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.