TY - JOUR
T1 - Atomic-level characterization of the methadone-stabilized active conformation of μ-opioid receptor
AU - Kapoor, Abhijeet
AU - Provasi, Davide
AU - Filizola, Marta
N1 - Funding Information:
This work was supported by the National Institutes of Health [Grant DA045473]. Computations were run on resources available through: 1) the Scientific Computing Facility at the Icahn School of Medicine at Mount Sinai supported, in part, by the Office of Research Infrastructure of the National Institutes of Health under award numbers S10OD018522 and S10OD026880; 2) the Extreme Science and Engineering Discovery Environment under MCB080077, which is supported by the National Science Foundation [Grant ACI-1548562]; and 3) the Pittsburgh Supercomputing Center through the National Institutes of Health National Institute of General Medical Sciences [Grant R01-GM116961]. https://doi.org/10.1124/mol.119.119339. s This article has supplemental material available at molpharm. aspetjournals.org.
Publisher Copyright:
© 2020 by The Author(s).
PY - 2020/10
Y1 - 2020/10
N2 - Methadone is a synthetic opioid agonist with notoriously unique properties, such as lower abuse liability and induced relief of withdrawal symptoms and drug cravings, despite acting on the same opioid receptors triggered by classic opioids-in particular the m-opioid receptor (MOR). Its distinct pharmacologic properties, which have recently been attributed to the preferential activation of b-arrestin over G proteins, make methadone a standard-of-care maintenance medication for opioid addiction. Although a recent biophysical study suggests that methadone stabilizes different MOR active conformations from those stabilized by classic opioid drugs or G protein-biased agonists, how this drug modulates the conformational equilibrium of MOR and what specific active conformation of the receptor it stabilizes are unknown. Here, we report the results of submillisecond adaptive sampling molecular dynamics simulations of a predicted methadone-bound MOR complex and compare them with analogous data obtained for the classic opioid morphine and the G protein-biased ligand TRV130. The model, which is supported by existing experimental data, is analyzed using Markov state models and transfer entropy analysis to provide testable hypotheses of methadone-specific conformational dynamics and activation kinetics of MOR.
AB - Methadone is a synthetic opioid agonist with notoriously unique properties, such as lower abuse liability and induced relief of withdrawal symptoms and drug cravings, despite acting on the same opioid receptors triggered by classic opioids-in particular the m-opioid receptor (MOR). Its distinct pharmacologic properties, which have recently been attributed to the preferential activation of b-arrestin over G proteins, make methadone a standard-of-care maintenance medication for opioid addiction. Although a recent biophysical study suggests that methadone stabilizes different MOR active conformations from those stabilized by classic opioid drugs or G protein-biased agonists, how this drug modulates the conformational equilibrium of MOR and what specific active conformation of the receptor it stabilizes are unknown. Here, we report the results of submillisecond adaptive sampling molecular dynamics simulations of a predicted methadone-bound MOR complex and compare them with analogous data obtained for the classic opioid morphine and the G protein-biased ligand TRV130. The model, which is supported by existing experimental data, is analyzed using Markov state models and transfer entropy analysis to provide testable hypotheses of methadone-specific conformational dynamics and activation kinetics of MOR.
UR - http://www.scopus.com/inward/record.url?scp=85091470104&partnerID=8YFLogxK
U2 - 10.1124/mol.119.119339
DO - 10.1124/mol.119.119339
M3 - Article
C2 - 32680919
AN - SCOPUS:85091470104
SN - 0026-895X
VL - 98
SP - 475
EP - 486
JO - Molecular Pharmacology
JF - Molecular Pharmacology
IS - 4
ER -