Dissociation kinetics of G proteins from G protein–coupled receptors and effects of allosteric modulation
G protein-coupled receptors (GPCRs), the largest superfamily of human membrane proteins with >800 members, are primary targets for ~1/3 of all marketed drugs. Recent fluorescence experiments underscored the pivotal role of GPCR-G protein complex lifetime in their coupling efficiency and selectivity. However, these experiments are often expensive, time-consuming, and limited to a small number of GPCR-G protein systems. On the other hand, it is challenging to simulate GPCR-G protein dissociation using molecular dynamics (MD) methods. Here, we have employed Protein-Protein Interaction Gaussian accelerated MD (PPI-GaMD) simulations and experiments to probe the kinetics and pathways of G protein dissociation from GPCRs. For five systems with published experimental kinetic data, PPI-GaMD simulations successfully captured G protein dissociation from the GPCRs, including the adrenergic, adenosine, and muscarinic receptors. The simulations allowed identification of two distinct dissociation pathways and calculation of the G protein dissociation rates, which were in good agreement with experimental data. Additionally, we simulated the effect of positive allosteric modulators (PAMs) of the adenosine A<sub>1</sub> receptor (A<sub>1</sub>R) in Gi protein dissociation and supported simulation findings with bioluminescence resonance energy transfer biosensor experiments evaluating G<sub>βγ</sub> kinetics following A<sub>1</sub>R activation. A<sub>1</sub>R PAMs were found to strengthen the agonist-receptor and receptor-G protein interactions and significantly reduce dissociation rates of the Gi protein. In summary, complementary PPI-GaMD simulations and kinetic assays have enabled detailed characterization of the kinetics and pathways of G protein dissociation, a critical event in the GPCR signaling cascade, and the effects of GPCR allosteric modulators.
Authors
- Arthur Christopoulos (ORCID: https://orcid.org/0000-0003-4442-3294)
- Peter J. Scammells (ORCID: https://orcid.org/0000-0003-2930-895X)
- Yinglong Miao (ORCID: https://orcid.org/0000-0003-3714-1395)
- Lauren T. May (ORCID: https://orcid.org/0000-0002-4412-1707)
- Samantha M. McNeill (ORCID: https://orcid.org/0000-0002-9206-9472)
- Manuela Jörg (ORCID: https://orcid.org/0000-0002-3116-373X)
- Victor A. Adediwura (ORCID: https://orcid.org/0009-0008-3337-2747)
- Thi Nguyen (ORCID: https://orcid.org/0000-0002-6385-0585)
- Jinan Wang (ORCID: https://orcid.org/0000-0003-0162-212X)
- Cam Sinh Lu (ORCID: https://orcid.org/0009-0005-1722-9877)
Institutions
- University of North Carolina at Chapel Hill (US)
- Australian Research Council (AU)
- Discovery Institute (US)
- Discovery Centre (CA)
- Monash University (AU)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1073/pnas.2512423122
- Primary Topic
- Receptor Mechanisms and Signaling
- Type
- article
- Field-Weighted Citation Impact
- 0.00