Biased signaling in GPCRs: Structural insights and implications for drug development
- PMID: 39719175
- DOI: 10.1016/j.pharmthera.2024.108786
Biased signaling in GPCRs: Structural insights and implications for drug development
Abstract
G protein-coupled receptors (GPCRs) are the largest family of cell surface receptors in humans, playing a crucial role in regulating diverse cellular processes and serving as primary drug targets. Traditional drug design has primarily focused on ligands that uniformly activate or inhibit GPCRs. However, the concept of biased agonism-where ligands selectively stabilize distinct receptor conformations, leading to unique signaling outcomes-has introduced a paradigm shift in therapeutic development. Despite the promise of biased agonists to enhance drug efficacy and minimize side effects, a comprehensive understanding of the structural and biophysical mechanisms underlying biased signaling is essential. Recent advancements in GPCR structural biology have provided unprecedented insights into ligand binding, conformational dynamics, and the molecular basis of biased signaling. These insights, combined with improved techniques for characterizing ligand efficacy, have driven the development of biased ligands for several GPCRs, including opioid, angiotensin, and adrenergic receptors. This review synthesizes these developments, from mechanisms to drug discovery in biased signaling, emphasizing the role of structural insights in the rational design of next-generation biased agonists with superior therapeutic profiles. Ultimately, these advances hold the potential to revolutionize GPCR-targeted drug discovery, paving the way for more precise and effective treatments.
Keywords: Biased signaling; Drug development; GPCRs; Structural insights.
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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