Evidence map›Paper›PMID 26124567›Full record

ArticleBioinformation2015

Computer aided screening of natural compounds targeting the E6 protein of HPV using molecular docking.

Saril Mamgain, Pushpendra Sharma, Rajesh Kumar Pathak, Mamta Baunthiyal

Abstract read
In one paragraph

Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Research in pharmaceutical sciences · 2022
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Cells · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. 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

4 authors.

Saril MamgainDepartment of Biotechnology, Govind Ballabh Pant Engineering College, Pauri Garhwal-246194, Uttarakhand, India.
Pushpendra SharmaDepartment of Biotechnology, Govind Ballabh Pant Engineering College, Pauri Garhwal-246194, Uttarakhand, India.
Rajesh Kumar PathakDepartment of Biotechnology, Govind Ballabh Pant Engineering College, Pauri Garhwal-246194, Uttarakhand, India ; Department of Molecular Biology & Genetic Engineering, College of Basic Sciences & Humanities, G. B. Pant University of Agriculture & Technology, Pantnagar-263145, Uttarakhand, India.
Mamta BaunthiyalDepartment of Biotechnology, Govind Ballabh Pant Engineering College, Pauri Garhwal-246194, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cancer profile in the Indian state of Uttarakhand reveals that the breast cancer is the most prevalent type of cancers in females followed by cervical and ovarian type. Literature survey shows that the E6 protein of Human Papilloma Virus-16 (HPV-16) is responsible for causing several forms of cancer in human. Therefore, it is of interest to screen HPV-16 E6 target protein with known natural compounds using computer aided molecular modeling and docking tools. The complete structure of E6 is unknown. Hence, the E6 structure model was constructed using different online servers followed by molecular docking of Colchine, Curcumin, Daphnoretin, Ellipticine and Epigallocatechin-3-gallate; five known natural compounds with best E6 protein model predicted by Phyre2 server. The screening exercise shows that Daphnoretin (with binding free energy of -8.3 kcal/mol), a natural compound derived from Wikstroemia indica has the top binding properties. Thus, it is of interest to consider the compound for further validation.

Indexed as

DaphnoretinE6 ProteinHuman Papilloma VirusMolecular DockingWikstroemia indica

Identifiers

PMID26124567
PMCPMC4464539

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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.