Evidence map›Paper›PMID 32547391›Full record

SynthesisFrontiers in pharmacology2020

Antinociceptive Activity of Chemical Components of Essential Oils That Involves Docking Studies: A Review.

Davidson Barbosa Assis, Humberto de Carvalho Aragão Neto, Diogo Vilar da Fonsêca, Humberto Hugo Nunes de Andrade, Renan Marinho Braga, Nader Badr, Mayara Dos Santos Maia, Ricardo Dias Castro, Luciana Scotti, Marcus Tullius Scotti and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Targeting CDK9 with Molegro Virtual Docker.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Differential Evolution for Docking Simulations.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Molegro Data Modeller to Estimate CDK6 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Tree-Based Methods to Predict Enzyme Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Neural Networks to Calculate CDK2 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. CDK7 as a Target for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Machine Learning to Predict CDK4 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Molegro Virtual Docker for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Molegro Data Modeller for Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. AlphaFold for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  12. Neural Networks with Molegro Data Modeller.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Synthesis, kinetic studies andJournal of enzyme inhibition and medicinal chemistry · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Activation ofInternational journal of molecular sciences · 2021
    Article
  18. Analgesic Potential of Terpenes Derived fromPharmacological reviews · 2021
    Review
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

11 authors at 2 institutions in 2 countries.

Davidson Barbosa AssisPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Humberto de Carvalho Aragão NetoPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Diogo Vilar da FonsêcaPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Humberto Hugo Nunes de AndradePsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Renan Marinho BragaPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Nader BadrFirst Faculty of Medicine, Charles University, Prague, Czechia.
Mayara Dos Santos MaiaCheminformatics Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Ricardo Dias CastroPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Luciana ScottiCheminformatics Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Marcus Tullius ScottiCheminformatics Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Reinaldo Nóbrega de AlmeidaPsychopharmacology Laboratory, Institute of Drugs and Medicines Research, Federal University of Paraíba, João Pessoa, Brazil.
Universidade Federal da Paraíba · BRCharles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPain is considered an unpleasant sensory and emotional experience, being considered as one of the most important causes of human suffering. Computational chemistry associated with bioinformatics has stood out in the process of developing new drugs, through natural products, to manage this condition.

objectiveTo analyze, through literature data, recent molecular coupling studies on the antinociceptive activity of essential oils and monoterpenes. DATA SOURCE: Systematic search of the literature considering the years of publications between 2005 and December 2019, in the electronic databases PubMed and ELIGIBILITY CRITERIA: Were considered as criteria of 1) Biological activity: non-clinical effects of an OE and/or monoterpenes on antinociceptive activity based on animal models and

resultsOf 16,006 articles, 16 articles fulfilled all the criteria. All selected studies were non-clinical. The most prominent plant families used were Asteraceae, Euphorbiaceae, Verbenaceae, Lamiaceae, and Lauraceae. Among the phytochemicals studied were α-Terpineol, 3-(5-substituted-1,3,4-oxadiazol-2-yl)-N'-[2-oxo-1,2-dihydro-3H-indol-3-ylidene] propane hydrazide, β-cyclodextrin complexed with citronellal, (-)-α-bisabolol, β-cyclodextrin complexed with farnesol, and p-Cymene. The softwares used for docking studies were Molegro Virtual Docker, Sybyl

conclusionsThe studies revealed that through the advancement of more robust computational techniques that complement the experimental studies, they may allow some notes on the identification of a new candidate molecule for therapeutic use.

Indexed as

dockingessential oilsin silicomolecular targetnociception

Identifiers

PMID32547391
PMCPMC7272657
OpenAlexW3030693160

What OpenQuestion holds

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LicenceCC BY
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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.