ArticleScientific reports2020
Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Multicenter study on the distribution and prevalence of human papillomavirus types in Hangzhou, Zhejiang from 2017 to 2023.Scientific reports · 2025Article
- Exogenous interactome analysis of bovine viral diarrhea virus-host using network based-approach and identification of hub genes and important pathways involved in virus pathogenesis.Biochemistry and biophysics reports · 2024Article
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- Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.Molecular diversity · 2023Review
- Drug repositioningFrontiers in oncology · 2023Article
- Article
- Article
- Protein-protein interactions: Methods, databases, and applications in virus-host study.World journal of virology · 2021Review
- Prediction of severe adverse events, modes of action and drug treatments for COVID-19's complications.Scientific reports · 2021Article
- The Dimeric Form of HPV16 E6 Is Crucial to Drive YAP/TAZ Upregulation through the Targeting of hScrib.Cancers · 2021Article
- Proteomics Analysis of Andrographolide-Induced Apoptosis via the Regulation of Tumor Suppressor p53 Proteolysis in Cervical Cancer-Derived Human Papillomavirus 16-Positive Cell Lines.International journal of molecular sciences · 2021Article
- A systems-based method to repurpose marketed therapeutics for antiviral use: a SARS-CoV-2 case study.Life science alliance · 2021Article
- A Molecular Interaction Map ofFrontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human papilloma virus (HPV) is a serious threat to human life globally with over 100 genotypes including cancer causing high risk HPVs. Study on protein interaction maps of pathogens with their host is a recent trend in 'omics' era and has been practiced by researchers to find novel drug targets. In current study, we construct an integrated protein interaction map of HPV with its host human in Cytoscape and analyze it further by using various bioinformatics tools. We found out 2988 interactions between 12 HPV and 2061 human proteins among which we identified MYLK, CDK7, CDK1, CDK2, JAK1 and 6 other human proteins associated with multiple viral oncoproteins. The functional enrichment analysis of these top-notch key genes is performed using KEGG pathway and Gene Ontology analysis, which reveals that the gene set is enriched in cell cycle a crucial cellular process, and the second most important pathway in which the gene set is involved is viral carcinogenesis. Among the viral proteins, E7 has the highest number of associations in the network followed by E6, E2 and E5. We found out a group of genes which is not targeted by the existing drugs available for HPV infections. It can be concluded that the molecules found in this study could be potential targets and could be used by scientists in their drug design studies.
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