Evidence map›Paper›PMID 34638633›Full record

ArticleInternational journal of molecular sciences2021

Opioid Addiction and Opioid Receptor Dimerization: Structural Modeling of the OPRD1 and OPRM1 Heterodimer and Its Signaling Pathways.

Bohua Wu, William Hand, Emil Alexov

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Skin-Brain Axis: From UV and Pigmentation to Behaviour Modulation.International journal of molecular sciences · 2024
    Review
  5. Polymorphisms inGenes · 2022
    Article
  6. Proteome-Informed Machine Learning Studies of Cocaine Addiction.The journal of physical chemistry letters · 2021
    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

3 authors at 2 institutions in 1 country.

Bohua WuDepartment of Physics, College of Science, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0001-8591-7851
William HandDepartment of Anesthesiology and Perioperative Medicine, Prisma Health, Greenville, SC 29605, USA.
Emil AlexovDepartment of Physics, College of Science, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0001-5346-0156
Clemson University · USPrisma Health · US

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
DelPhi and associated resources: maintenance, development and applicationsR35GM151964 · NIGMS · CLEMSON UNIVERSITY · PI Emil Georgiev Alexov · 2024 to 2026
$1.1M
NIGMS NIH HHS R01 GM093937NIGMS NIH HHS R35 GM151964
6 · The paper itself

Abstract

Opioid addiction is a complex phenomenon with genetic, social, and other components. Due to such complexity, it is difficult to interpret the outcome of clinical studies, and thus, mutations found in individuals with these addictions are still not indisputably classified as opioid addiction-causing variants. Here, we computationally investigated two such mutations, A6V and N40D, found in the mu opioid receptor gene

Indexed as

beta-ArrestinsDimerizationHumansMutationOpioid-Related DisordersReceptors, OpioidReceptors, Opioid, deltaReceptors, Opioid, muSignal Transductionbeta-ArrestinsOPRD1 protein, humanOPRM1 protein, humanReceptors, OpioidReceptors, Opioid, deltaReceptors, Opioid, muenergy calculationsmutationsopioid addictionopioid proteinsstructural modeling

Identifiers

PMID34638633
PMCPMC8509015
OpenAlexW3204281926

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.