Multiscale design of coarse-grained elastic network-based potentials for the μ opioid receptor

2016 ◽  
Vol 22 (9) ◽  
Author(s):  
Mathieu Fossépré ◽  
Laurence Leherte ◽  
Aatto Laaksonen ◽  
Daniel P. Vercauteren
2021 ◽  
Author(s):  
Katy J Sutcliffe ◽  
Robin A Corey ◽  
Steven J Charlton ◽  
Richard B Sessions ◽  
Graeme Henderson ◽  
...  

AbstractOverdose deaths from synthetic opioids, such as fentanyl, have reached epidemic proportions in the USA and are increasing worldwide. Fentanyl is a potent opioid agonist, that is less well reversed by naloxone than morphine. Due to fentanyl’s high lipophilicity and elongated structure we hypothesised that its unusual pharmacology may be explained by a novel binding mode to the μ-opioid receptor (MOPr).By employing coarse-grained molecular dynamics simulations and free energy calculations, we determined the routes by which fentanyl and morphine access the orthosteric pocket of MOPr.Morphine accesses MOPr via the aqueous pathway; first binding to an extracellular vestibule, then diffusing into the orthosteric pocket. In contrast, fentanyl takes a novel route; first partitioning into the membrane, before accessing the orthosteric site by diffusing through a ligand-induced gap between the transmembrane helices.This novel lipophilic route may explain the high potency and lower susceptibility of fentanyl to reversal by naloxone.


2020 ◽  
Vol 117 (42) ◽  
pp. 26218-26225
Author(s):  
Dibyendu Mondal ◽  
Vesselin Kolev ◽  
Arieh Warshel

Understanding the activation mechanism of the μ-opioid receptor (μ-OR) and its selective coupling to the inhibitory G protein (Gi) is vital for pharmaceutical research aimed at finding treatments for the opioid overdose crisis. Many attempts have been made to understand the mechanism of the μ-OR activation, following the elucidation of new crystal structures such as the antagonist- and agonist-bound μ-OR. However, the focus has not been placed on the underlying energetics and specificity of the activation process. An energy-based picture would not only help to explain this coupling but also help to explore why other possible options are not common. For example, one would like to understand why μ-OR is more selective to Githan a stimulatory G protein (Gs). Our study used homology modeling and a coarse-grained model to generate all of the possible “end states” of the thermodynamic cycle of the activation of μ-OR. The end points were further used to generate reasonable intermediate structures of the receptor and the Gito calculate two-dimensional free energy landscapes. The results of the landscape calculations helped to propose a plausible sequence of conformational changes in the μ-OR and Gisystem and for exploring the path that leads to its activation. Furthermore, in silico alanine scanning calculations of the last 21 residues of the C terminals of Giand Gswere performed to shed light on the selective binding of Gito μ-OR. Overall, the present work appears to demonstrate the potential of multiscale modeling in exploring the action of G protein-coupled receptors.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213646
Author(s):  
Marie-Ange Angladon ◽  
Mathieu Fossépré ◽  
Laurence Leherte ◽  
Daniel P. Vercauteren

Analgesia ◽  
1995 ◽  
Vol 1 (4) ◽  
pp. 438-441
Author(s):  
Zafiroula Georgoussi ◽  
Ian Mullaney ◽  
Alan Wise ◽  
Craig Carr ◽  
Graeme Milligan

Neuroscience ◽  
2010 ◽  
Vol 169 (1) ◽  
pp. 449-454 ◽  
Author(s):  
C. König ◽  
O. Gavrilova-Ruch ◽  
G. Segond von Banchet ◽  
R. Bauer ◽  
M. Grün ◽  
...  

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