Evidence map›Paper›PMID 40192871›Full record

ArticleMedical oncology (Northwood, London, England)2025

Genetic analysis of HPV-16 L1 gene mutations and computational screening of therapeutic inhibitors for cervical cancer treatment.

Saima Younas, Atiqa Nosheen, Zaryab Ikram Malik, Nazim Hussain, Muhammad Umer Khan, Alaa S Alhegaili, Zakria Shabbir, Sadia Manzoor, Hafiz Muzzammel Rehman, Hafiz Muhammad Hammad

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Article in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Saima YounasCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan. saima.camb@pu.edu.pk.ORCID https://orcid.org/0000-0002-5562-0448
Atiqa NosheenCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan.
Zaryab Ikram MalikCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan.
Nazim HussainCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan.
Muhammad Umer KhanInstitute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan. muhammad.umer4@mlt.uol.edu.pk.
Alaa S AlhegailiDepartment of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia.
Zakria ShabbirCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan.
Sadia ManzoorCentre for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan.
Hafiz Muzzammel RehmanSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.
Hafiz Muhammad HammadSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer, the fourth most common carcinoma in women worldwide, is predominantly caused by persistent infection with high risk human papillomavirus (HR-HPV). The human papillomavirus type 16 (HPV-16) L1 capsid protein plays a crucial role in immune recognition and viral dissemination. This study aims to conduct molecular analysis of the L1 gene from HR-HPV16 samples collected in Lahore, Pakistan, and to identify potential inhibitors against the L1 protein through in-silico analysis. The L1 gene was amplified using PCR (Polymerase Chain Reaction), followed by gel purification and Sanger sequencing. Nucleotide and amino acid sequence alignments were used to assess variant regions. In silico tools, including ADMET, CB DOCK 2 and Maestro Schrodinger, were employed to evaluate different parameters of various compounds with L1 protein. The study identified mutations in L1 sequences, including V357G, V359G, S369A, AND C371W, which could impact HPV-16 behavior and cancer development. Neoechinulin was identified as a promising HPV16 L1 capsid protein inhibitor with the highest binding energy score (-7.6 kcal/mol) against the L1 protein, suggesting potential antiviral efficacy. These mutations may alter the structural integrity of the L1 protein, potentially influencing HPV-16 infectivity and its role in cervical cancer progression, while virtual screening method demonstrated a cost- effective approach for discovering biologically impactful compounds. Neoechinulin identified as a potential HPV16 L1 capsid protein inhibitor through In Silico tools, further in vitro and in vivo studies are needed to confirm its antiviral efficacy.

Indexed as

Capsid ProteinsHuman papillomavirus 16MutationOncogene Proteins, ViralPapillomavirus InfectionsUterine Cervical NeoplasmsAntiviral AgentsComputer SimulationFemaleHumansMolecular Docking SimulationAntiviral AgentsCapsid ProteinsL1 protein, Human papillomavirus type 16Oncogene Proteins, ViralCervical cancerGenetic variantsHPV-16HR-HPVIn silico drug screeningL1 geneTherapeutic inhibitors

Identifiers

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Registered trials

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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 Socratic graph.