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Differential interaction patterns of opioid analgesics with µ opioid receptors correlate with ligand-specific voltage sensitivity

Kirchhofer, Sina B; Lim, Victor Jun Yu; Ernst, Sebastian; Karsai, Noemi; Julia, Ruland G; Canals, Meritxell; Kolb, Peter; Bünemann, Moritz

Differential interaction patterns of opioid analgesics with µ opioid receptors correlate with ligand-specific voltage sensitivity Thumbnail


Authors

Sina B Kirchhofer

Victor Jun Yu Lim

Sebastian Ernst

Noemi Karsai

Ruland G Julia

Peter Kolb

Moritz Bünemann



Abstract

The µ opioid receptor (MOR) is the key target for analgesia, but the application of opioids is accompanied by several issues. There is a wide range of opioid analgesics, differing in their chemical structure and their properties of receptor activation and subsequent effects. A better understanding of ligand-receptor interactions and the resulting effects is important. Here, we calculated the respective binding poses for several opioids and analyzed interaction fingerprints between ligand and receptor. We further corroborated the interactions experimentally by cellular assays. As MOR was observed to display ligand-induced modulation of activity due to changes in membrane potential, we further analyzed the effects of voltage sensitivity on this receptor. Combining in silico and in vitro approaches, we defined discriminating interaction patterns responsible for ligand-specific voltage sensitivity and present new insights into their specific effects on activation of the MOR.

Citation

Kirchhofer, S. B., Lim, V. J. Y., Ernst, S., Karsai, N., Julia, R. G., Canals, M., …Bünemann, M. (2023). Differential interaction patterns of opioid analgesics with µ opioid receptors correlate with ligand-specific voltage sensitivity. eLife, 12, Article e91291. https://doi.org/10.7554/eLife.91291

Journal Article Type Article
Acceptance Date Nov 19, 2023
Online Publication Date Nov 20, 2023
Publication Date Nov 20, 2023
Deposit Date Feb 5, 2024
Publicly Available Date Feb 8, 2024
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 12
Article Number e91291
DOI https://doi.org/10.7554/eLife.91291
Keywords Neuroscience; voltage; GPCR; ligands; opioid; Förster resonance energy transfer; binding mode
Public URL https://nottingham-repository.worktribe.com/output/28134248
Publisher URL https://elifesciences.org/articles/91291
Additional Information Peer review transparency: single anonymised; Peer review interaction: other reviewer(s), editor; Peer review published: review summaries, review reports, author/editor communication, reviewer identities reviewer opt in, editor identities; Post publication commenting: open (sign in with ORCID iD required)

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