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Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein

BACKGROUND: Human Papillomavirus (HPV) is a small, non-enveloped, icosahedral and double-stranded DNA virus with a genome of 8 kb, belonging to the papillomaviridae family. HPV has been associated with 99.7% cases of cervical squamous cell carcinoma worldwide. The HPV E6 protein is known as a potent...

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Detalles Bibliográficos
Autores principales: Juneja, Tanzil, Pandya, Medha D, Shah, Sejal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629474/
https://www.ncbi.nlm.nih.gov/pubmed/34452559
http://dx.doi.org/10.31557/APJCP.2021.22.8.2461
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author Juneja, Tanzil
Pandya, Medha D
Shah, Sejal
author_facet Juneja, Tanzil
Pandya, Medha D
Shah, Sejal
author_sort Juneja, Tanzil
collection PubMed
description BACKGROUND: Human Papillomavirus (HPV) is a small, non-enveloped, icosahedral and double-stranded DNA virus with a genome of 8 kb, belonging to the papillomaviridae family. HPV has been associated with 99.7% cases of cervical squamous cell carcinoma worldwide. The HPV E6 protein is known as a potent oncogene and is closely allied with the events that result in the malignant transformation of virally infected cells. OBJECTIVE: The present study aims to target plant derived anticancer molecules for HPV driven cancer using a computational approach. Methods: In this study, E6 oncoprotein was targeted by 101 plant-derived nutraceuticals using the molecular docking method. The multiple sequence analysis and phylogenetic analysis of low risk and high risk 28 HPV E6 proteins were performed. RESULTS: Withanolide D, Ginkgetin, Theaflavin, Hesperidin, and Quercetin-3-gluconide were identified as the potential inhibitors of HPV 16 E6 protein. The zinc finger domain was identified on all variants of HPV E6 oncoprotein while high-risk HPV18, HPV31, HPV33, HPV35, HPV39, HPV45, HPV58, HPV68 and HPV73: probable risk HPV53 and low-risk HPV43 and HPV70 contain PDZ domain. CONCLUSION: The current study using bioinformatics analysis approaches reveals a promising platform for developing anti-cancerous competitive inhibitors targeting HPV.
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spelling pubmed-86294742021-12-03 Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein Juneja, Tanzil Pandya, Medha D Shah, Sejal Asian Pac J Cancer Prev Research Article BACKGROUND: Human Papillomavirus (HPV) is a small, non-enveloped, icosahedral and double-stranded DNA virus with a genome of 8 kb, belonging to the papillomaviridae family. HPV has been associated with 99.7% cases of cervical squamous cell carcinoma worldwide. The HPV E6 protein is known as a potent oncogene and is closely allied with the events that result in the malignant transformation of virally infected cells. OBJECTIVE: The present study aims to target plant derived anticancer molecules for HPV driven cancer using a computational approach. Methods: In this study, E6 oncoprotein was targeted by 101 plant-derived nutraceuticals using the molecular docking method. The multiple sequence analysis and phylogenetic analysis of low risk and high risk 28 HPV E6 proteins were performed. RESULTS: Withanolide D, Ginkgetin, Theaflavin, Hesperidin, and Quercetin-3-gluconide were identified as the potential inhibitors of HPV 16 E6 protein. The zinc finger domain was identified on all variants of HPV E6 oncoprotein while high-risk HPV18, HPV31, HPV33, HPV35, HPV39, HPV45, HPV58, HPV68 and HPV73: probable risk HPV53 and low-risk HPV43 and HPV70 contain PDZ domain. CONCLUSION: The current study using bioinformatics analysis approaches reveals a promising platform for developing anti-cancerous competitive inhibitors targeting HPV. West Asia Organization for Cancer Prevention 2021-08 /pmc/articles/PMC8629474/ /pubmed/34452559 http://dx.doi.org/10.31557/APJCP.2021.22.8.2461 Text en https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Juneja, Tanzil
Pandya, Medha D
Shah, Sejal
Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title_full Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title_fullStr Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title_full_unstemmed Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title_short Molecular Landscape and Computational Screening of the Natural inhibitors against HPV16 E6 Oncoprotein
title_sort molecular landscape and computational screening of the natural inhibitors against hpv16 e6 oncoprotein
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629474/
https://www.ncbi.nlm.nih.gov/pubmed/34452559
http://dx.doi.org/10.31557/APJCP.2021.22.8.2461
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