Evidence map›Paper›PMID 36685072›Full record

ArticleJournal of traditional and complementary medicine2023

Viwan Jarerattanachat, Chompunuch Boonarkart, Supa Hannongbua, Prasert Auewarakul, Ruchuta Ardkhean

Open access · diamondAbstract read
In one paragraph

Article in Journal of traditional and complementary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Current pharmaceutical biotechnology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Saudi journal of biological sciences · 2024
    Article
  7. 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

5 authors at 4 institutions in 1 country.

Viwan JarerattanachatNSTDA Supercomputer Center, National Electronics and Computer Technology Center, National Science and Technology Development Agency, Pathumthani, 12120, Thailand.
Chompunuch BoonarkartDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Supa HannongbuaDepartment of Chemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand.
Prasert AuewarakulDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Ruchuta ArdkheanPrincess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, 10210, Thailand.
Siriraj Hospital · THChulabhorn Hospital · THKasetsart University · THNational Science and Technology Development Agency · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Dengue is a potentially deadly tropical infectious disease transmitted by mosquito vector Experimental procedure: A molecular docking model of Dengue NS5 Methyl transferase (MTase) domain was tested with decoys and then used to screen 91 small molecular compounds found in Ginseng and Notoginseng followed by Molecular dynamics simulations and the per-residue free energy decompositions based on molecular mechanics/Poisson-Boltzmann (generalised Born) surface area (MM/PB(GB)SA) calculations of the hit. ADME predictions and drug-likeness analyses were discussed to evaluate the viability of the hit as a drug candidate. To confirm our findings, Results and conclusion: The virtual screening resulted in Isoquercitrin as a single hit. Further analyses of the Isoquercitrin-MTase complex show that Isoquercitrin can reside within

Indexed as

AntiviralDengueIsoquercitrinMolecular dockingMolecular dynamics simulationsNS5 methyl transferase

Identifiers

PMID36685072
PMCPMC9845645
OpenAlexW4312136653

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.