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Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods
BACKGROUND: Scientific findings have shown that Epstein-Barr virus (EBV) plays a key role in the development of some tumor diseases. Therefore, this study intends to take a practical step in controlling the pathogenicity of this virus by designing an effective vaccine based on the virus Capsid Envel...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043181/ https://www.ncbi.nlm.nih.gov/pubmed/36999015 http://dx.doi.org/10.3389/fimmu.2023.1115345 |
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author | Larijani, Amirhossein Kia-Karimi, Ali Roostaei, Davoud |
author_facet | Larijani, Amirhossein Kia-Karimi, Ali Roostaei, Davoud |
author_sort | Larijani, Amirhossein |
collection | PubMed |
description | BACKGROUND: Scientific findings have shown that Epstein-Barr virus (EBV) plays a key role in the development of some tumor diseases. Therefore, this study intends to take a practical step in controlling the pathogenicity of this virus by designing an effective vaccine based on the virus Capsid Envelope and Epstein–Barr nuclear immunogen (EBNA) Proteins Epitopes. Currently, there are no effective drugs or vaccines to treat or prevent EBV infection. So, we applied a computer-based strategy to design an epitope vaccine RESULTS: We designed a powerful multi-epitope peptide vaccine against EBV using in silico analysis. The vaccine is made up of 844 amino acids derived from three different types of proteins (Envelope, Capsid, EBNA) found in two different viral strains. responses. These epitopes have a high immunogenic capacity and are not likely to cause allergies. To enhance the vaccine immunogenicity, we used rOv-ASP-1, a recombinant Onchocerca volvulus activation associated protein-1, as an adjuvant and linked it to the vaccine’s N and C terminus. The physicochemical and immunological properties of the vaccine structure were evaluated. The proposed vaccine was stable, with a stability index of 33.57 and a pI of 10.10, according to bioinformatic predictions. Docking analysis revealed that the vaccine protein binds correctly with immunological receptors. CONCLUSION: Our results demonstrated that the multi-epitope vaccine might be potentially immunogenic and induce humoral and cellular immune responses against EBV. This vaccine can interact appropriately with immunological receptors Also, it has a high-quality structure and suitable characteristics such as high stability. |
format | Online Article Text |
id | pubmed-10043181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100431812023-03-29 Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods Larijani, Amirhossein Kia-Karimi, Ali Roostaei, Davoud Front Immunol Immunology BACKGROUND: Scientific findings have shown that Epstein-Barr virus (EBV) plays a key role in the development of some tumor diseases. Therefore, this study intends to take a practical step in controlling the pathogenicity of this virus by designing an effective vaccine based on the virus Capsid Envelope and Epstein–Barr nuclear immunogen (EBNA) Proteins Epitopes. Currently, there are no effective drugs or vaccines to treat or prevent EBV infection. So, we applied a computer-based strategy to design an epitope vaccine RESULTS: We designed a powerful multi-epitope peptide vaccine against EBV using in silico analysis. The vaccine is made up of 844 amino acids derived from three different types of proteins (Envelope, Capsid, EBNA) found in two different viral strains. responses. These epitopes have a high immunogenic capacity and are not likely to cause allergies. To enhance the vaccine immunogenicity, we used rOv-ASP-1, a recombinant Onchocerca volvulus activation associated protein-1, as an adjuvant and linked it to the vaccine’s N and C terminus. The physicochemical and immunological properties of the vaccine structure were evaluated. The proposed vaccine was stable, with a stability index of 33.57 and a pI of 10.10, according to bioinformatic predictions. Docking analysis revealed that the vaccine protein binds correctly with immunological receptors. CONCLUSION: Our results demonstrated that the multi-epitope vaccine might be potentially immunogenic and induce humoral and cellular immune responses against EBV. This vaccine can interact appropriately with immunological receptors Also, it has a high-quality structure and suitable characteristics such as high stability. Frontiers Media S.A. 2023-03-14 /pmc/articles/PMC10043181/ /pubmed/36999015 http://dx.doi.org/10.3389/fimmu.2023.1115345 Text en Copyright © 2023 Larijani, Kia-Karimi and Roostaei https://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 Larijani, Amirhossein Kia-Karimi, Ali Roostaei, Davoud Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title | Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title_full | Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title_fullStr | Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title_full_unstemmed | Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title_short | Design of a multi-epitopic vaccine against Epstein-Barr virus via computer-based methods |
title_sort | design of a multi-epitopic vaccine against epstein-barr virus via computer-based methods |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043181/ https://www.ncbi.nlm.nih.gov/pubmed/36999015 http://dx.doi.org/10.3389/fimmu.2023.1115345 |
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