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Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach
Various mutations have accumulated since the first genome sequence of SARS-CoV2 in 2020. Mutants of the virus carrying the D614G and P681R mutations in the spike protein are increasingly becoming dominant all over the world. The two mutations increase the viral infectivity and severity of the diseas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694184/ https://www.ncbi.nlm.nih.gov/pubmed/36362871 http://dx.doi.org/10.3390/life12111715 |
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author | Seadawy, Mohamed G. Zekri, Abdel Rahman N. Saeed, Aya A. San, Emmanuel James Ageez, Amr M. |
author_facet | Seadawy, Mohamed G. Zekri, Abdel Rahman N. Saeed, Aya A. San, Emmanuel James Ageez, Amr M. |
author_sort | Seadawy, Mohamed G. |
collection | PubMed |
description | Various mutations have accumulated since the first genome sequence of SARS-CoV2 in 2020. Mutants of the virus carrying the D614G and P681R mutations in the spike protein are increasingly becoming dominant all over the world. The two mutations increase the viral infectivity and severity of the disease. This report describes an in silico design of SARS-CoV-2 multi-epitope carrying the spike D614G and P681R mutations. The designed vaccine harbors the D614G mutation that increases viral infectivity, fitness, and the P681R mutation that enhances the cleavage of S to S1 and S2 subunits. The designed multi-epitope vaccine showed an antigenic property with a value of 0.67 and the immunogenicity of the predicted vaccine was calculated and yielded 3.4. The vaccine construct is predicted to be non-allergenic, thermostable and has hydrophilic nature. The combination of the selected CTL and HTL epitopes in the vaccine resulted in 96.85% population coverage globally. Stable interactions of the vaccine with Toll-Like Receptor 4 were tested by docking studies. The multi-epitope vaccine can be a good candidate against highly infecting SARS-CoV-2 variants. |
format | Online Article Text |
id | pubmed-9694184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96941842022-11-26 Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach Seadawy, Mohamed G. Zekri, Abdel Rahman N. Saeed, Aya A. San, Emmanuel James Ageez, Amr M. Life (Basel) Article Various mutations have accumulated since the first genome sequence of SARS-CoV2 in 2020. Mutants of the virus carrying the D614G and P681R mutations in the spike protein are increasingly becoming dominant all over the world. The two mutations increase the viral infectivity and severity of the disease. This report describes an in silico design of SARS-CoV-2 multi-epitope carrying the spike D614G and P681R mutations. The designed vaccine harbors the D614G mutation that increases viral infectivity, fitness, and the P681R mutation that enhances the cleavage of S to S1 and S2 subunits. The designed multi-epitope vaccine showed an antigenic property with a value of 0.67 and the immunogenicity of the predicted vaccine was calculated and yielded 3.4. The vaccine construct is predicted to be non-allergenic, thermostable and has hydrophilic nature. The combination of the selected CTL and HTL epitopes in the vaccine resulted in 96.85% population coverage globally. Stable interactions of the vaccine with Toll-Like Receptor 4 were tested by docking studies. The multi-epitope vaccine can be a good candidate against highly infecting SARS-CoV-2 variants. MDPI 2022-10-27 /pmc/articles/PMC9694184/ /pubmed/36362871 http://dx.doi.org/10.3390/life12111715 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Seadawy, Mohamed G. Zekri, Abdel Rahman N. Saeed, Aya A. San, Emmanuel James Ageez, Amr M. Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title | Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title_full | Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title_fullStr | Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title_full_unstemmed | Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title_short | Candidate Multi-Epitope Vaccine against Corona B.1.617 Lineage: In Silico Approach |
title_sort | candidate multi-epitope vaccine against corona b.1.617 lineage: in silico approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694184/ https://www.ncbi.nlm.nih.gov/pubmed/36362871 http://dx.doi.org/10.3390/life12111715 |
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