henhao
Sign in
Pharmacology & ToxicologyNature
Peer-reviewed journal article

Non-Equilibrium Snapshots of Ligand Efficacy at the μ-Opioid Receptor

Michael J. RobertsoniD, Arnab ModakiD, Makaía M. Papasergi-ScottiD, Miaohui Hu, Maria Claudia PerotoiD, Balázs R. VargaiD, Susruta MajumdariD, Ravi KalathuriD, Scott C. BlanchardiD, Georgios SkiniotisiD

PDFDOIPreprint

Abstract

Distinct ligands for the same G-protein coupled receptor (GPCR) activate intracellular signaling partners to varying extents, but the molecular mechanisms driving these differences remains elusive. Hypothesizing that such differences in signaling efficacy may be captured structurally in intermediate states under non-equilibrium conditions, we implemented a time-resolved (TR) cryo-EM approach to visualize the GTP-induced activation of the Gi{beta}{gamma} heterotrimer by the -opioid receptor (MOR) bound to three ligands displaying partial, full, or super-agonism on the receptor. We resolved ensembles of conformational states along the G-protein activation pathway, including a previously unobserved intermediate state that enabled us to visualize receptor dynamics as a function of bound ligand. The results demonstrate ligand-dependent differences in state occupancy and conformational stability, with higher ligand efficacy correlating with increased dynamics of the receptors transmembrane (TM) helices 5 and 6. Furthermore, we identify key mechanistic differences in the GTP-induced activation of Gi compared to Gs that likely underlie their distinct activation kinetics. Corroborated by molecular dynamics (MD) simulations, these findings provide a dynamic structural landscape of GPCR-G-protein interactions for ligands of different efficacy and suggest partial agonists may produce a kinetic trap during G-protein activation.

02 /Specification & Classification

Click any tag to browse matching papers
Citations
11
FWCI
3.31
Field percentile
top 6%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKonovalov '26Deutsch '25Mitra '21Papasergi-S '23Fisher '25Gong '25
83% semantic matchBiophysics
Kirill A. Konovalov, Dylan Novack, Davide Provasi+3 more·bioRxiv·Sep 8, 2026· 1 citations