Rational Design Biased Compounds against μ-Opioid Receptor

Agonists targeting the μ-opioid receptor (MOR) are the most effective analgesics, but their clinical use is limited by adverse side effects which are partly induced by β-arrestin signaling. Here, we combined in silico methods and cell-based functional assays to design novel structural scaffold molecules with high affinity that were biased at the G protein signaling of MOR. Furthermore, we explored the molecular mechanism of G protein subtype preference via computational methods. The results of our studies provide an insightful view into the ligand-MOR binding mode, which could serve as an important guide for the design of next-generation MOR ligands with reduced side effects.

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Publication Details

Journal
ACS Pharmacology & Translational Science
Published
2025-04-08
DOI
https://doi.org/10.1021/acsptsci.5c00055
Citations
2
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
1.61
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article

Rational Design Biased Compounds against μ-Opioid Receptor

Shuguang Yuan, Horst Vogel, Yi Li, Chenyang Wu
2 citations
ACS Pharmacology & Translational Science
Receptor Mechanisms and Signaling
1.61
article

Rational Design Biased Compounds against μ-Opioid Receptor

Shuguang Yuan, Horst Vogel, Yi Li, Chenyang Wu
article en
2 citations

Abstract

Agonists targeting the μ-opioid receptor (MOR) are the most effective analgesics, but their clinical use is limited by adverse side effects which are partly induced by β-arrestin signaling. Here, we combined in silico methods and cell-based functional assays to design novel structural scaffold molecules with high affinity that were biased at the G protein signaling of MOR. Furthermore, we explored the molecular mechanism of G protein subtype preference via computational methods. The results of our studies provide an insightful view into the ligand-MOR binding mode, which could serve as an important guide for the design of next-generation MOR ligands with reduced side effects.

ACS Pharmacology & Translational ScienceVol. 8(7)
Shenzhen University (CN), Shenzhen Institutes of Advanced Technology (CN), Shenzhen Technology University (CN), University of Chinese Academy of Sciences (CN), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 18%
Receptor Mechanisms and Signaling
1.61
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Rational Design Biased Compounds against μ-Opioid Receptor — Shuguang Yuan, Horst Vogel, et al. · ACS Pharmacology & Translational Science (2025) | TGRS Research Map | TGRS