Evidence map›Paper›PMID 34452559›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein.

Tanzil Juneja, Medha D Pandya, Sejal Shah

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Transcriptomic Profiling of OSCC Patients in an Indian Subset.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  5. Article
  6. 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 at 1 institution in 1 country.

Tanzil JunejaDepartment of Microbiology, School of Science, RK University, Rajkot, India.ORCID https://orcid.org/00
Medha D PandyaThe KPES Science College, M.K Bhavnagar University, Bhavnagar, India.ORCID https://orcid.org/00
Sejal ShahDepartment of Microbiology, School of Science, RK University, Rajkot, India.ORCID https://orcid.org/00
RK University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman Papillomavirus (HPV) is a small, non-enveloped, icosahedral and double-stranded DNA virus with a genome of 8 kb, belonging to the papillomaviridae family. HPV has been associated with 99.7% cases of cervical squamous cell carcinoma worldwide. The HPV E6 protein is known as a potent oncogene and is closely allied with the events that result in the malignant transformation of virally infected cells.

objectiveThe present study aims to target plant derived anticancer molecules for HPV driven cancer using a computational approach.

methodsIn this study, E6 oncoprotein was targeted by 101 plant-derived nutraceuticals using the molecular docking method. The multiple sequence analysis and phylogenetic analysis of low risk and high risk 28 HPV E6 proteins were performed.

resultsWithanolide D, Ginkgetin, Theaflavin, Hesperidin, and Quercetin-3-gluconide were identified as the potential inhibitors of HPV 16 E6 protein. The zinc finger domain was identified on all variants of HPV E6 oncoprotein while high-risk HPV18, HPV31, HPV33, HPV35, HPV39, HPV45, HPV58, HPV68 and HPV73: probable risk HPV53 and low-risk HPV43 and HPV70 contain PDZ domain.

conclusionThe current study using bioinformatics analysis approaches reveals a promising platform for developing anti-cancerous competitive inhibitors targeting HPV.<br />.

Indexed as

Molecular Docking SimulationAntineoplastic AgentsComputational BiologyDietary SupplementsDNA-Binding ProteinsHigh-Throughput Screening AssaysHumansOncogene Proteins, ViralPhylogenyPhytochemicalsAntineoplastic AgentsDNA-Binding ProteinsE6 protein, Human papillomavirus type 18Oncogene Proteins, ViralPhytochemicalsCervical cancerMolecular dockingnatural compoundsPDZ domain

Identifiers

PMID34452559
PMCPMC8629474
OpenAlexW3195737181

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.