Evidence map›Paper›PMID 41231956›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Dissociation kinetics of G proteins from G protein-coupled receptors and effects of allosteric modulation.

Jinan Wang, Anh T N Nguyen, Victor A Adediwura, Cam Sinh Lu, Samantha M McNeill, Manuela Jörg, Peter J Scammells, Arthur Christopoulos, Lauren T May, Yinglong Miao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Dissociation kinetics of G proteins from G protein-coupled receptors and effects of allosteric modulation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jinan WangDepartment of Pharmacology and Computational Medicine Program, University of North Carolina, Chapel Hill, NC 27599.ORCID 0000-0003-0162-212X
Anh T N NguyenDrug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.
Victor A AdediwuraDepartment of Pharmacology and Computational Medicine Program, University of North Carolina, Chapel Hill, NC 27599.ORCID 0009-0008-3337-2747
Cam Sinh LuDrug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0009-0005-1722-9877
Samantha M McNeillDrug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.
Manuela JörgMedicinal Chemistry Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0000-0002-3116-373X
Peter J ScammellsMedicinal Chemistry Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0000-0003-2930-895X
Arthur ChristopoulosDrug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0000-0003-4442-3294
Lauren T MayDrug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0000-0002-4412-1707
Yinglong MiaoDepartment of Pharmacology and Computational Medicine Program, University of North Carolina, Chapel Hill, NC 27599.ORCID 0000-0003-3714-1395

Funding

Enhanced Sampling of G-Protein-Coupled Receptor-G Protein InteractionsR01GM132572 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MIAO, YINGLONG · 2019 to 2023
$1.5M
Department of Education and Training | Australian Research Council (ARC) DE250101179Department of Health and Aged Care, Australian Government (DHAC) MRF2015957DHAC | National Health and Medical Research Council (NHMRC) APP2013629HHS | National Institutes of Health (NIH) R01GM132572National Heart Foundation of Australia (Heart Foundation) 101857NIGMS NIH HHS R01 GM132572
6 · The paper itself

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 A

Indexed as

GTP-Binding ProteinsReceptors, G-Protein-CoupledAllosteric RegulationHumansKineticsMolecular Dynamics SimulationProtein BindingGTP-Binding ProteinsReceptors, G-Protein-Coupledallosteric modulationdissociation kineticsfluorescenceGPCR–G protein interactionsmolecular dynamics

Identifiers

PMID41231956
PMCPMC12646235

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.