Evidence map›Paper›PMID 35935103›Full record

ArticleSaudi journal of biological sciences2022

Tassanee Ongtanasup, Smith Wanmasae, Siriwan Srisang, Chawan Manaspon, Soiphet Net-Anong, Komgrit Eawsakul

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Therapeutic, and pharmacological prospects of nutmeg seed: A comprehensive review for novel drug potential insights.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Acylphenols and Dimeric Acylphenols from the GenusPlants (Basel, Switzerland) · 2023
    Review
  10. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  11. 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

6 authors at 3 institutions in 1 country.

Tassanee OngtanasupSchool of Medicine, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Smith WanmasaeSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Siriwan SrisangEnergy Engineering Division, Department of Engineering, King Mongkut's Institute of Technology Ladkrabang, Prince of Chumphon Campus, Chumphon 86160, Thailand.
Chawan ManasponBiomedical Engineering Institute, Chiang Mai University, Chiang Mai 50200, Thailand.
Soiphet Net-AnongSchool of Medicine, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Komgrit EawsakulSchool of Medicine, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Walailak University · THChiang Mai University · THKing Mongkut's Institute of Technology Ladkrabang · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), is a new coronavirus strain that was first reported in December 2019 in Wuhan, China. A specific treatment for COVID-19 has yet to be identified. Potential therapeutic targets include SARS-CoV-2 main protease (Mpro) and the SARS-CoV-2 spike-ACE2 interaction. Molecular docking, molecular dynamics (MD), solvent screening for the extraction of the specified compounds, and prediction of the drug properties of certain molecules were the methods used in this study to investigate compounds from the medicinal plant

Indexed as

Molecular dockingMolecular DynamicsMyristica fragrans (houtt.)PharmacokineticsSAR-CoV-2 main proteaseSARs-CoV-2 spike-ACE-2

Identifiers

PMID35935103
PMCPMC9338756
OpenAlexW4287843559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.