G-Protein–Coupled Receptors as Therapeutic Targets: Innovations, Challenges, and Future Opportunities in Drug Discovery

G protein-coupled receptors (GPCRs) establish one of the most lengthily investigated and therapeutically important receptor families in contemporary pharmacology. These receptors mediate the transduction of diverse extracellular stimuli into intracellular responses, thereby regulating many physiological processes and contributing to a wide spectrum of pathological conditions. Their central role in cell signalling underscores their importance as targets for novel therapeutic agents. Recent advances in structural biology—particularly cryo-electron microscopy and X-ray crystallography have yielded extraordinary insights into GPCR conformational states and ligand-binding mechanisms, driving a new era of structure-based drug design. Complementarily, computational methodologies, including artificial intelligence (AI) and machine-learning (ML) approaches, are accelerating the identification and optimisation of selective GPCR ligands for novel targeting. Despite this progress, several challenges, such as ligand specificity, receptor desensitisation, and the inherent complexity of biased signalling, remain notably high. In addition, the limited availability of high-resolution structures for receptor subtypes restricts toxicological specificity. Emerging strategies to address these limitations include precision pharmacology, integrating genomic and pharmacogenomic data, nanotechnology-enabled GPCR-targeted drug delivery systems, and the rational design of allosteric modulators.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20136607
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

G-Protein–Coupled Receptors as Therapeutic Targets: Innovations, Challenges, and Future Opportunities in Drug Discovery

Kimberley Fernandes, Ambika Nand Jha, Lael Gonsalves, Evonne Fernandes et al.
Zenodo (CERN European Organization for Nuclear Research)
Receptor Mechanisms and Signaling
article

G-Protein–Coupled Receptors as Therapeutic Targets: Innovations, Challenges, and Future Opportunities in Drug Discovery

Kimberley Fernandes, Ambika Nand Jha, Lael Gonsalves, Evonne Fernandes, Nitin Kumar Sen
article en

Abstract

G protein-coupled receptors (GPCRs) establish one of the most lengthily investigated and therapeutically important receptor families in contemporary pharmacology. These receptors mediate the transduction of diverse extracellular stimuli into intracellular responses, thereby regulating many physiological processes and contributing to a wide spectrum of pathological conditions. Their central role in cell signalling underscores their importance as targets for novel therapeutic agents. Recent advances in structural biology—particularly cryo-electron microscopy and X-ray crystallography have yielded extraordinary insights into GPCR conformational states and ligand-binding mechanisms, driving a new era of structure-based drug design. Complementarily, computational methodologies, including artificial intelligence (AI) and machine-learning (ML) approaches, are accelerating the identification and optimisation of selective GPCR ligands for novel targeting. Despite this progress, several challenges, such as ligand specificity, receptor desensitisation, and the inherent complexity of biased signalling, remain notably high. In addition, the limited availability of high-resolution structures for receptor subtypes restricts toxicological specificity. Emerging strategies to address these limitations include precision pharmacology, integrating genomic and pharmacogenomic data, nanotechnology-enabled GPCR-targeted drug delivery systems, and the rational design of allosteric modulators.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Receptor Mechanisms and Signaling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.