Structural Determinants of μ-Opioid Receptor Antagonism and Respiratory Liability in Phenylfentanyl Analogues

did not induce respiratory depression at the tested dose, indicating a lack of intrinsic respiratory liability. These findings delineate structural features governing MOR antagonism and respiratory effects within a fentanyl-derived scaffold.

Authors

Institutions

Publication Details

Journal
ACS Chemical Neuroscience
Published
2026-04-30
DOI
https://doi.org/10.1021/acschemneuro.5c00836
Primary Topic
Neuropeptides and Animal Physiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Determinants of μ-Opioid Receptor Antagonism and Respiratory Liability in Phenylfentanyl Analogues

Ahmed Reda, Rui Lyu, Balaji S. Kale, Piyusha P. Pagare et al.
ACS Chemical Neuroscience
Neuropeptides and Animal Physiology
article

Structural Determinants of μ-Opioid Receptor Antagonism and Respiratory Liability in Phenylfentanyl Analogues

Ahmed Reda, Rui Lyu, Balaji S. Kale, Piyusha P. Pagare, Y Zhang, William L. Dewey, E.P. Li, Neha Upadhyay, Abeje A. Silte, Logan T Neel, Huiqun Wang
article en

Abstract

did not induce respiratory depression at the tested dose, indicating a lack of intrinsic respiratory liability. These findings delineate structural features governing MOR antagonism and respiratory effects within a fentanyl-derived scaffold.

ACS Chemical Neuroscience
Virginia Commonwealth University (US)
National Institute on Drug Abuse
Good health and well-being
Openalex Percentile: Top 11%
Neuropeptides and Animal Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.