Evidence map›Paper›PMID 40316604›Full record

ArticleScientific reports2025

Computational analysis of lupenone derivatives as potential inhibitor of human papillomavirus oncoprotein E6 associated cervical cancer.

Saurav Kumar Mishra, Mir Md Shaheen, Sharifa Sultana, Al-Anood M Al-Dies, Jehad Zuhair Tayyeb, Taha Alqahtani, Yewulsew Kebede Tiruneh, Gabriel Christian de Farias Morais, Jonas Ivan Nobre Oliveira, Magdi E A Zaki

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  8. Exploring the molecular basis ofBioinformatics advances · 2026
    Article
  9. Phenol and chromone compounds forPharmaceutical science advances · 2025
    Article
  10. 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

10 authors.

Saurav Kumar MishraDepartment of Bioinformatics, University of North Bengal, District-Darjeeling, Darjeeling, 734013, West Bengal, India.
Mir Md ShaheenComputational Biology Research Laboratory, Department of Pharmacy, Daffodil International University, Birulia, Ashulia, Dhaka, 1216, Bangladesh.
Sharifa SultanaComputational Biology Research Laboratory, Department of Pharmacy, Daffodil International University, Birulia, Ashulia, Dhaka, 1216, Bangladesh.
Al-Anood M Al-DiesDepartment of Chemistry , Umm Al-Qura University, Al-Qunfudah University College, Al-Qunfudhah, Saudi Arabia.
Jehad Zuhair TayyebDivision of Clinical Biochemistry, Department of Basic Medical Sciences, College of Medicine, University of Jeddah, 23890, Jeddah, Saudi Arabia.
Taha AlqahtaniDepartment of Pharmacology, College of Pharmacy, King Khalid University, 62529, Abha, Saudi Arabia.
Yewulsew Kebede TirunehDepartment of Biology, Biomedical Sciences Stream, Bahir Dar University, P.O.Box = 79, Bahir Dar, Ethiopia. Kebede@bdu.edu.et.
Gabriel Christian de Farias MoraisDepartment of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Federal University of Rio Grande do Norte, Natal, RN, Brazil. jonas.nobre@ufrn.br.
Magdi E A ZakiDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remains a major global health challenge, largely driven by persistent infections with high-risk human papillomavirus (HPV). Although preventive vaccines have reduced cervical cancer incidence in some settings, effective therapeutic strategies for established HPV-associated malignancies remain limited. High-risk HPV types (particularly 16 and 18) utilize their E6 oncoprotein to promote ubiquitin-mediated degradation of the tumor suppressor p53, thereby facilitating uncontrolled cell proliferation and immune evasion. Targeting E6 has thus emerged as a key strategy to counteract HPV-driven carcinogenesis. In this work, we employed a comprehensive in silico framework-encompassing density functional theory (DFT), ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiling, molecular docking (including refinement and validation), and molecular dynamics (MD) simulations-to evaluate a series of chemically modified lupenone derivatives as potential HPV oncoprotein inhibitors. Initially, lupenone was modified with different functional groups, and each derivative was screened for drug-likeness via ADMET analysis to confirm pharmacological viability. Concurrently, pharmacophore mapping highlighted key alignments between ligand functional groups and pharmacophoric sites, while DFT calculations elucidated each compound's electronic structure, conformational stability, and chemical reactivity. Subsequent docking assessments against E6 oncoprotein and molecular dynamics simulations further confirmed structural robustness in several top-performing compounds, indicating minimal conformational fluctuations over time. These findings demonstrate the potential of lupenone derivatives as promising scaffolds for anti-HPV therapy. However, in vitro and in vivo investigations are necessary to confirm their efficacy, toxicity profiles, and clinical relevance in mitigating HPV-related cervical cancer.

Indexed as

Oncogene Proteins, ViralPapillomavirus InfectionsRepressor ProteinsUterine Cervical NeoplasmsFemaleHuman papillomavirus 16Human Papillomavirus VirusesHumansMolecular Docking SimulationMolecular Dynamics SimulationE6 protein, Human papillomavirus type 16Oncogene Proteins, ViralRepressor ProteinsADMETCervical cancerDFTDruglikenessHuman papilloma virusMolecular dockingMolecular dynamic simulation

Identifiers

PMID40316604
PMCPMC12048690

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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.