Evidence map›Paper›PMID 31653480›Full record

ReviewBiological psychiatry2020

Molecular Basis of Opioid Action: From Structures to New Leads.

Aashish Manglik

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Mechanistic insights into ligand selectivity inActa pharmaceutica Sinica. B · 2026
    Article
  3. Article
  4. Review
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  14. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Aashish ManglikDepartments of Pharmaceutical Chemistry and Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California. Electronic address: Aashish.Manglik@ucsf.edu.
University of California, San Francisco · US

Funding

Molecular Mechanisms of Iron HomeostasisDP5OD023048 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MANGLIK, AASHISH · 2016 to 2020
$2.0M
NIH HHS DP5 OD023048
6 · The paper itself

Abstract

Since the isolation of morphine from the opium poppy over 200 years ago, the molecular basis of opioid action has remained the subject of intense inquiry. The identification of specific receptors responsible for opioid function and the discovery of many chemically diverse molecules with unique opioid-like efficacies have provided glimpses into the molecular logic of opioid action. Recent revolutions in the structural biology of transmembrane proteins have, for the first time, yielded high-resolution views into the 3-dimensional shapes of all 4 opioid receptors. These studies have begun to decode the chemical logic that enables opioids to specifically bind and activate their receptor targets. A combination of spectroscopic experiments and computational simulations has provided a view into the molecular movements of the opioid receptors, which itself gives rise to the complex opioid pharmacology observed at the cellular and behavioral levels. Further diversity in opioid receptor structure is driven by both genetic variation and receptor oligomerization. These insights have enabled computational drug discovery efforts, with some evidence of success in the design of completely novel opioids with unique efficacies. The combined progress over the past few years provides hope for new, efficacious opioids devoid of the side effects that have made them the scourge of humanity for millennia.

Indexed as

Analgesics, OpioidReceptors, Opioid, deltaMorphineReceptors, OpioidReceptors, Opioid, muAnalgesics, OpioidMorphineReceptors, OpioidReceptors, Opioid, deltaReceptors, Opioid, muAnalgesicDOPG protein–coupled receptorKOPMOPOpioidOpioid receptor

Identifiers

PMID31653480
PMCPMC6898784
OpenAlexW2972654647

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.