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Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis

Human papillomavirus (HPV) induced cervical cancer is the second most common cause of death, after breast cancer, in females. Three prophylactic vaccines by Merck Sharp & Dohme (MSD) and GlaxoSmithKline (GSK) have been confirmed to prevent high-risk HPV strains but these vaccines have been shown...

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Autores principales: Jabbar, Basit, Rafique, Shazia, Salo-Ahen, Outi M. H., Ali, Amjad, Munir, Mobeen, Idrees, Muhammad, Mirza, Muhammad Usman, Vanmeert, Michiel, Shah, Syed Zawar, Jabbar, Iqra, Rana, Muhammad Adeel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305797/
https://www.ncbi.nlm.nih.gov/pubmed/30619353
http://dx.doi.org/10.3389/fimmu.2018.03000
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author Jabbar, Basit
Rafique, Shazia
Salo-Ahen, Outi M. H.
Ali, Amjad
Munir, Mobeen
Idrees, Muhammad
Mirza, Muhammad Usman
Vanmeert, Michiel
Shah, Syed Zawar
Jabbar, Iqra
Rana, Muhammad Adeel
author_facet Jabbar, Basit
Rafique, Shazia
Salo-Ahen, Outi M. H.
Ali, Amjad
Munir, Mobeen
Idrees, Muhammad
Mirza, Muhammad Usman
Vanmeert, Michiel
Shah, Syed Zawar
Jabbar, Iqra
Rana, Muhammad Adeel
author_sort Jabbar, Basit
collection PubMed
description Human papillomavirus (HPV) induced cervical cancer is the second most common cause of death, after breast cancer, in females. Three prophylactic vaccines by Merck Sharp & Dohme (MSD) and GlaxoSmithKline (GSK) have been confirmed to prevent high-risk HPV strains but these vaccines have been shown to be effective only in girls who have not been exposed to HPV previously. The constitutively expressed HPV oncoproteins E6 and E7 are usually used as target antigens for HPV therapeutic vaccines. These early (E) proteins are involved, for example, in maintaining the malignant phenotype of the cells. In this study, we predicted antigenic peptides of HPV types 16 and 18, encoded by E6 and E7 genes, using an immunoinformatics approach. To further evaluate the immunogenic potential of the predicted peptides, we studied their ability to bind to class I major histocompatibility complex (MHC-I) molecules in a computational docking study that was supported by molecular dynamics (MD) simulations and estimation of the free energies of binding of the peptides at the MHC-I binding cleft. Some of the predicted peptides exhibited comparable binding free energies and/or pattern of binding to experimentally verified MHC-I-binding epitopes that we used as references in MD simulations. Such peptides with good predicted affinity may serve as candidate epitopes for the development of therapeutic HPV peptide vaccines.
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spelling pubmed-63057972019-01-07 Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis Jabbar, Basit Rafique, Shazia Salo-Ahen, Outi M. H. Ali, Amjad Munir, Mobeen Idrees, Muhammad Mirza, Muhammad Usman Vanmeert, Michiel Shah, Syed Zawar Jabbar, Iqra Rana, Muhammad Adeel Front Immunol Immunology Human papillomavirus (HPV) induced cervical cancer is the second most common cause of death, after breast cancer, in females. Three prophylactic vaccines by Merck Sharp & Dohme (MSD) and GlaxoSmithKline (GSK) have been confirmed to prevent high-risk HPV strains but these vaccines have been shown to be effective only in girls who have not been exposed to HPV previously. The constitutively expressed HPV oncoproteins E6 and E7 are usually used as target antigens for HPV therapeutic vaccines. These early (E) proteins are involved, for example, in maintaining the malignant phenotype of the cells. In this study, we predicted antigenic peptides of HPV types 16 and 18, encoded by E6 and E7 genes, using an immunoinformatics approach. To further evaluate the immunogenic potential of the predicted peptides, we studied their ability to bind to class I major histocompatibility complex (MHC-I) molecules in a computational docking study that was supported by molecular dynamics (MD) simulations and estimation of the free energies of binding of the peptides at the MHC-I binding cleft. Some of the predicted peptides exhibited comparable binding free energies and/or pattern of binding to experimentally verified MHC-I-binding epitopes that we used as references in MD simulations. Such peptides with good predicted affinity may serve as candidate epitopes for the development of therapeutic HPV peptide vaccines. Frontiers Media S.A. 2018-12-19 /pmc/articles/PMC6305797/ /pubmed/30619353 http://dx.doi.org/10.3389/fimmu.2018.03000 Text en Copyright © 2018 Jabbar, Rafique, Salo-Ahen, Ali, Munir, Idrees, Mirza, Vanmeert, Shah, Jabbar and Rana. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Jabbar, Basit
Rafique, Shazia
Salo-Ahen, Outi M. H.
Ali, Amjad
Munir, Mobeen
Idrees, Muhammad
Mirza, Muhammad Usman
Vanmeert, Michiel
Shah, Syed Zawar
Jabbar, Iqra
Rana, Muhammad Adeel
Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title_full Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title_fullStr Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title_full_unstemmed Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title_short Antigenic Peptide Prediction From E6 and E7 Oncoproteins of HPV Types 16 and 18 for Therapeutic Vaccine Design Using Immunoinformatics and MD Simulation Analysis
title_sort antigenic peptide prediction from e6 and e7 oncoproteins of hpv types 16 and 18 for therapeutic vaccine design using immunoinformatics and md simulation analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305797/
https://www.ncbi.nlm.nih.gov/pubmed/30619353
http://dx.doi.org/10.3389/fimmu.2018.03000
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