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

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

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.

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  5. Otun, M. O. "Artificial Intelligence and Machine Learning Approaches for Target-Based Drug Discovery: A Focus on GPCR-Ligand Interactions." Journal of Applied Sciences and Environmental Management 29.3 (2025): 737-745.
  6. Zhu, Siyu, et al. "Trends in application of advancing computational approaches in GPCR ligand discovery." Experimental Biology and Medicine 246.9 (2021): 1011-1024.
  7. Nguyen, Anh TN, et al. "The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery." British Journal of Pharmacology 181.14 (2024): 2371-2384.
  8. Chung, Jason, et al. "Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery." Biomolecules 15.3 (2025): 423.
  9. Zhang, Yue, et al. "Application of computational biology and artificial intelligence in drug design." International journal of molecular sciences 23.21 (2022): 13568.
  10. Vatansever, Sezen, et al. "Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions." Medicinal research reviews 41.3 (2021): 1427-1473.

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References


García-Nafría, Javiery Christopher G. Tate. "Structure determination of GPCRs: cryo-EM compared with X-ray crystallography." Biochemical Society Transactions 49.5 (2021): 2345-2355.

Latorraca, Naomi R., A. J. Venkatakrishnan, and Ron O. Dror. "GPCR dynamics: structures in motion." Chemical reviews 117.1 (2017): 139-155.

Roth, Bryan L., John J. Irwin, and Brian K. Shoichet. "Discovery of new GPCR ligands to illuminate new biology." Nature chemical biology 13.11 (2017): 1143-1151.

Edward Zhou, X., Karsten Melcher, and H. Eric Xu. "Structural biology of G protein‐coupled receptor signaling complexes." Protein Science 28.3 (2019): 487-501.

Otun, M. O. "Artificial Intelligence and Machine Learning Approaches for Target-Based Drug Discovery: A Focus on GPCR-Ligand Interactions." Journal of Applied Sciences and Environmental Management 29.3 (2025): 737-745.

Zhu, Siyu, et al. "Trends in application of advancing computational approaches in GPCR ligand discovery." Experimental Biology and Medicine 246.9 (2021): 1011-1024.

Nguyen, Anh TN, et al. "The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery." British Journal of Pharmacology 181.14 (2024): 2371-2384.

Chung, Jason, et al. "Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery." Biomolecules 15.3 (2025): 423.

Zhang, Yue, et al. "Application of computational biology and artificial intelligence in drug design." International journal of molecular sciences 23.21 (2022): 13568.

Vatansever, Sezen, et al. "Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions." Medicinal research reviews 41.3 (2021): 1427-1473.


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