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Congratulations to Jinan and Victor for a new paper published in PNAS on “Dissociation kinetics of G proteins from G protein–coupled receptors and effects of allosteric modulation“! Really excited to share this story: The PPI-GaMD method developed earlier by Jinan allowed us to capture the “very slow” G protein dissociation from GPCRs, a critical event in cellular signaling. The simulations enabled predictions of the G protein dissociation kinetics, which agreed well with experimental data. Together with our experimental collaborators, we also showed that positive allosteric modulators, a new class of selective GPCR drug leads, slowed down the G protein dissociation.

Thanks to Drs. Lauren May, Arthur Christopoulos and Anh Nguyen at Monash University and other team members for the wonderful collaboration!

Dissociation of G protein from drug-bound GPCR (orange) is captured in accelerated molecular dynamics simulations, starting from the bound (blue) to free state (red), with a trace of its C-terminal residue colored in a blue-white-red scale.

Significance

Protein–protein interactions (PPIs) are critical in cellular signaling but pose significant challenges for simulations due to slow dynamics. Dissociation of intracellular proteins from G protein–coupled receptors (GPCRs), primary targets of ~1/3 of marketed drugs, remains unexplored in molecular dynamics (MD) simulations. We have employed a novel PPI-Gaussian accelerated MD (PPI-GaMD) method to investigate dissociation kinetics of G proteins from GPCRs. Our simulations successfully captured G protein dissociation, and the predictions agreed with available experimental data. Further PPI-GaMD simulations and kinetic assays showed that positive allosteric modulators reduced the dissociation rate of G protein from a model GPCR. We have provided insight into GPCR–G protein dissociation kinetics and effects of allosteric modulation. This will facilitate allosteric drug discovery of GPCRs.

Abstract

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 A1 receptor (A1R) in Gi protein dissociation and supported simulation findings with bioluminescence resonance energy transfer biosensor experiments evaluating Gβγ kinetics following A1R activation. A1R 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.