Evidence map›Paper›PMID 39132582›Full record

ArticleF1000Research2023

Kishore Krishna Kumaree, Naga Venkata Anusha Anthikapalli, Anchalee Prasansuklab

Abstract read
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. F1000Research · 2023
    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.

Kishore Krishna KumareeCollege of Public Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.ORCID 0000-0002-0693-6366
Naga Venkata Anusha AnthikapalliDepartment of Chemistry, Akkineni Nageswara Rao College, Gudivada, Andhra Pradesh, 521301, India.
Anchalee PrasansuklabCollege of Public Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.ORCID 0000-0001-8884-3077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Zika virus (ZIKV) infection has emerged as a global health threat. The causal reasoning is that Zika infection is linked to the development of microcephaly in newborns and Guillain-Barré syndrome in adults. With no clinically approved antiviral treatment for ZIKV, the need for the development of potential inhibitors against the virus is essential. In this study, we aimed to screen phytochemicals from papaya ( Methods: Approximately 193 phytochemicals from an online database (IMPACT) were subjected to molecular docking using AutoDock Vina against the NS5-MTase protein domain (5WXB) and -RdRp domain (5U04). Results: Our results showed that β-sitosterol, carpaine, violaxanthin, pseudocarpaine, Δ7-avenasterols, Rutin, and cis-β-carotene had the highest binding affinity to both protein domains, with β-sitosterol having the most favorable binding energy. Furthermore, ADMET analysis revealed that selected compounds had good pharmacokinetic properties and were nontoxic. Conclusions: Our findings suggest that papaya-derived phytochemicals could be potential candidates for developing antiviral drugs against ZIKV. However, further experimental studies using cell lines and

Indexed as

Antiviral AgentsCaricaMolecular Docking SimulationPhytochemicalsViral Nonstructural ProteinsZika VirusComputer SimulationDrug Evaluation, PreclinicalHumansZika Virus InfectionAntiviral AgentsPhytochemicalsViral Nonstructural ProteinsAutoDoc VinaMolecular dockingPapayaZika virus

Identifiers

PMID39132582
PMCPMC11310656

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.