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Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network

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...

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Autores principales: Farooq, Qurat ul Ain, Shaukat, Zeeshan, Zhou, Tong, Aiman, Sara, Gong, Weikang, Li, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251128/
https://www.ncbi.nlm.nih.gov/pubmed/32457456
http://dx.doi.org/10.1038/s41598-020-65837-w
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author Farooq, Qurat ul Ain
Shaukat, Zeeshan
Zhou, Tong
Aiman, Sara
Gong, Weikang
Li, Chunhua
author_facet Farooq, Qurat ul Ain
Shaukat, Zeeshan
Zhou, Tong
Aiman, Sara
Gong, Weikang
Li, Chunhua
author_sort Farooq, Qurat ul Ain
collection PubMed
description 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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spelling pubmed-72511282020-06-04 Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network Farooq, Qurat ul Ain Shaukat, Zeeshan Zhou, Tong Aiman, Sara Gong, Weikang Li, Chunhua Sci Rep Article 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. Nature Publishing Group UK 2020-05-26 /pmc/articles/PMC7251128/ /pubmed/32457456 http://dx.doi.org/10.1038/s41598-020-65837-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Farooq, Qurat ul Ain
Shaukat, Zeeshan
Zhou, Tong
Aiman, Sara
Gong, Weikang
Li, Chunhua
Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title_full Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title_fullStr Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title_full_unstemmed Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title_short Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network
title_sort inferring virus-host relationship between hpv and its host homo sapiens using protein interaction network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251128/
https://www.ncbi.nlm.nih.gov/pubmed/32457456
http://dx.doi.org/10.1038/s41598-020-65837-w
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