Morales-Pastor Adrian, Miljuš Tamara, Dieguez-Eceolaza Miguel, Stępniewski Tomasz Maciej, Ledesma-Martin Vicente, Heydenreich Franziska M, Flock Tilman, Plouffe Bianca, Le Gouill Christian, Duchaine Jean, Sykes David A, Nicholson Colin, Koers Eline J, Guba Wolfgang, Rufer Arne C, Grether Uwe, Bouvier Michel, Veprintsev Dmitry B, Selent Jana
Research Programme on Biomedical Informatics, Hospital del Mar Research Institute and Department of Medicine and Life Science, Universitat Pompeu Fabra, Barcelona, Spain.
Laboratory of Biomolecular Research, Paul Scherrer Institute, 5232, Villigen, PSI, Switzerland.
Nat Commun. 2025 Jun 11;16(1):5265. doi: 10.1038/s41467-025-60003-0.
G protein-coupled receptors (GPCRs) are important therapeutic drug targets for a wide range of diseases. Upon activation, GPCRs can initiate several signaling pathways, each with unique therapeutic implications. Therefore, understanding how drugs selectively engage specific signaling pathways becomes paramount. However, achieving this selectivity remains highly challenging. To unravel the underlying multifaceted mechanisms, we integrate systematic mutagenesis of the CBR, comprehensive profiling of G and β-arrestin1 engagements and computer simulations to track the effects of mutations on receptor dynamics. Our research reveals multiple triggers within a complex allosteric communication network (ACN) that converge to preferential CBR coupling by modulating evolutionarily conserved motifs. Utilizing network path analysis, we find that potent triggers are typically highly connected nodes and are located near regions of high information transmission within the ACN. Our insights highlight the complexity of GPCR signaling and provide a framework for the rational design of drug candidates tailored to evoke specific functional responses, ultimately enhancing the precision and efficacy of therapeutic interventions.
G蛋白偶联受体(GPCRs)是多种疾病的重要治疗药物靶点。激活后,GPCRs可启动多种信号通路,每条通路都有独特的治疗意义。因此,了解药物如何选择性地参与特定信号通路变得至关重要。然而,实现这种选择性仍然极具挑战性。为了揭示潜在的多方面机制,我们整合了CBR的系统诱变、G和β-抑制蛋白1参与的全面分析以及计算机模拟,以追踪突变对受体动力学的影响。我们的研究揭示了复杂的变构通讯网络(ACN)中的多个触发因素,这些因素通过调节进化保守基序汇聚到优先的CBR偶联。利用网络路径分析,我们发现强效触发因素通常是高度连接的节点,并且位于ACN内高信息传输区域附近。我们的见解突出了GPCR信号传导的复杂性,并为合理设计旨在引发特定功能反应的候选药物提供了框架,最终提高治疗干预的精准性和疗效。