Literature DB >> 32114254

Bioinformatics analysis of HPV-68 E6 and E7 oncoproteins for designing a therapeutic epitope vaccine against HPV infection.

Di Dong1, Yuejie Zhu2, Zufeiya Aili1, Zhifang Chen3, Jianbing Ding4.   

Abstract

The incidence and mortality of cervical cancer, which mainly results from the infection of human papillomavirus (HPV) is significantly increasing in Xinjiang. According to the previous research, the incidence of HPV-68 in cervical cancer patients in Xinjiang is significantly higher than in other parts of China. HPV E6 and E7 oncoproteins play a crucial role in cervical cancer, and can be used as ideal targets for therapeutic vaccines. Therefore, we analyzed and identified the possible T-cell and B-cell dominant epitopes and various aspects of HPV-68 E6 and E7 oncoproteins, including the physicochemical properties, secondary and tertiary structures using a bioinformatic approach, which provided a basis for designing an effective HPV infection therapeutic vaccine. The results showed that E6 oncoproteins was an unstable and hydrophilic protein, while E7 oncoproteins was unstable and hydrophilic protein. The secondary structure of the E6 oncoproteins consisted of 45.57% alpha helixes, 14.56% extended strands, 4.43% beta turns and 35.44% random coils. The secondary structure of E7 oncoproteins consisted of 35.45% alpha helixes, 17.27% extended strands, 0.91% beta turns and 46.36% random coils. Moreover, our results identified 5 dominant T-cell epitopes and 6 dominant B-cell epitopes in the E6 oncoproteins structure and 5 dominant T-cell epitopes and 3 dominant B-cell epitopes in E7 oncoproteins. In conclusion, this study provides comprehensive biological information about the HPV-68 E6 and E7 oncoproteins, which will lay a theoretical foundation for multi-epitope vaccines against HPV infection.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

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Keywords:  Bioinformatics analysis; Human papillomavirus; Human papillomavirus 68 E6 and E7 oncoproteins; Multi-epitope; Vaccine

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Year:  2020        PMID: 32114254     DOI: 10.1016/j.meegid.2020.104266

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  2 in total

1.  First report of computational protein-ligand docking to evaluate susceptibility to HIV integrase inhibitors in HIV-infected Iranian patients.

Authors:  Farzane Ghasabi; Ava Hashempour; Nastaran Khodadad; Soudabeh Bemani; Parisa Keshani; Mohamad Javad Shekiba; Zahra Hasanshahi
Journal:  Biochem Biophys Rep       Date:  2022-03-29

2.  A Comprehensive in Silico Analysis for Identification of Immunotherapeutic Epitopes of HPV-18.

Authors:  Bharti Gupta; Anoop Kumar; Parikipandla Sridevi
Journal:  Int J Pept Res Ther       Date:  2021-09-20       Impact factor: 1.931

  2 in total

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