Evidence map›Paper›PMID 35890173›Full record

ReviewPharmaceuticals (Basel, Switzerland)2022

Opportunities and Challenges for In Silico Drug Discovery at Delta Opioid Receptors.

Yazan J Meqbil, Richard M van Rijn

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Indole Alkaloids as Biased Opioid Receptor Modulators.Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Identification of 1,3,8-Triazaspiro[4.5]Decane-2,4-Dione Derivatives as a NovelThe Journal of pharmacology and experimental therapeutics · 2024
    Article
  7. Review
  8. Therapeutic Potential of Orally Administered Rubiscolin-6.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yazan J MeqbilDepartment of Medicinal Chemistry and Molecular Pharmacology, Computational Interdisciplinary Graduate Program, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-5801-1608
Richard M van RijnDepartment of Medicinal Chemistry and Molecular Pharmacology, Purdue Institute for Drug Discovery, Purdue Institute for Neuroscience, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-9957-1633

Funding

G-protein-, beta-arrestin- and ERK-signaling in alcohol use- and anxiety-disordersR01AA025368 · NIAAA · PURDUE UNIVERSITY · PI CHESTER, JULIA ANN · 2017 to 2021
$1.7M
NIAAA NIH HHS R01 AA025368NIAAA NIH HHS R01AA025368
6 · The paper itself

Abstract

The delta opioid receptor is a Gi-protein-coupled receptor (GPCR) with a broad expression pattern both in the central nervous system and the body. The receptor has been investigated as a potential target for a multitude of significant diseases including migraine, alcohol use disorder, ischemia, and neurodegenerative diseases. Despite multiple attempts, delta opioid receptor-selective molecules have not been translated into the clinic. Yet, the therapeutic promise of the delta opioid receptor remains and thus there is a need to identify novel delta opioid receptor ligands to be optimized and selected for clinical trials. Here, we highlight recent developments involving the delta opioid receptor, the closely related mu and kappa opioid receptors, and in the broader area of the GPCR drug discovery research. We focus on the validity and utility of the available delta opioid receptor structures. We also discuss the increased ability to perform ultra-large-scale docking studies on GPCRs, the rise in high-resolution cryo-EM structures, and the increased prevalence of machine learning and artificial intelligence in drug discovery. Overall, we pose that there are multiple opportunities to enable in silico drug discovery at the delta opioid receptor to identify novel delta opioid modulators potentially with unique pharmacological properties, such as biased signaling.

Indexed as

artificial intelligencebiased signalingcomputer-aided drug designG protein-coupled receptormolecular dynamic simulationmutagenesis

Identifiers

PMID35890173
PMCPMC9324648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.