Evidence map›Paper›PMID 30213978›Full record

ArticleScientific reports2018

Exploring the Ligand Efficacy of Cannabinoid Receptor 1 (CB1) using Molecular Dynamics Simulations.

Sang Won Jung, Art E Cho, Wookyung Yu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  8. The Leu/ValJournal of chemical information and modeling · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Cannabis and Migraine: It's Complicated.Current pain and headache reports · 2021
    Review
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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.

Sang Won JungCenter for Supercomputing and Big Data, DGIST, 333 Techno jungang-daero, Daegu, 42988, Korea.ORCID 0000-0001-9109-0096
Art E ChoDepartment of Bioinformatics, Korea University, 2511 Sejong-ro, Sejong, 30019, Korea. artcho@korea.ac.kr.
Wookyung YuCenter for Supercomputing and Big Data, DGIST, 333 Techno jungang-daero, Daegu, 42988, Korea. wkyu@dgist.ac.kr.
Daegu Gyeongbuk Institute of Science and Technology · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cannabinoid receptor 1 (CB1) is a promising therapeutic target for a variety of disorders. Distinct efficacy profiles showed different therapeutic effects on CB1 dependent on three classes of ligands: agonists, antagonists, and inverse agonists. To discriminate the distinct efficacy profiles of the ligands, we carried out molecular dynamics (MD) simulations to identify the dynamic behaviors of inactive and active conformations of CB1 structures with the ligands. In addition, the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method was applied to analyze the binding free energy decompositions of the CB1-ligand complexes. With these two methods, we found the possibility that the three classes of ligands can be discriminated. Our findings shed light on the understanding of different efficacy profiles of ligands by analyzing the structural behaviors of intact CB1 structures and the binding energies of ligands, thereby yielding insights that are useful for the design of new potent CB1 drugs.

Indexed as

Drug DesignCannabinoid Receptor AgonistsCannabinoid Receptor AntagonistsCannabinoidsDronabinolLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationReceptor, Cannabinoid, CB1Cannabinoid Receptor AgonistsCannabinoid Receptor AntagonistsCannabinoidsDronabinolLigandsReceptor, Cannabinoid, CB1tetrahydrocannabivarin 9

Identifiers

PMID30213978
PMCPMC6137198
OpenAlexW2892354015

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.