Cargando…
Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant
The newly discovered SARS-CoV-2 Omicron variant B.1.1.529 is a Variant of Concern (VOC) announced by the World Health Organization (WHO). It's becoming increasingly difficult to keep these variants from spreading over the planet. The fifth wave has begun in several countries because of Omicron...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087879/ https://www.ncbi.nlm.nih.gov/pubmed/35576833 http://dx.doi.org/10.1016/j.virol.2022.05.001 |
_version_ | 1784704250308198400 |
---|---|
author | Khan, Kanwal Khan, Salman Ali Jalal, Khurshid Ul-Haq, Zaheer Uddin, Reaz |
author_facet | Khan, Kanwal Khan, Salman Ali Jalal, Khurshid Ul-Haq, Zaheer Uddin, Reaz |
author_sort | Khan, Kanwal |
collection | PubMed |
description | The newly discovered SARS-CoV-2 Omicron variant B.1.1.529 is a Variant of Concern (VOC) announced by the World Health Organization (WHO). It's becoming increasingly difficult to keep these variants from spreading over the planet. The fifth wave has begun in several countries because of Omicron variant, and it is posing a threat to human civilization. As a result, we need effective vaccination that can tackle Omicron SARS-CoV-2 variants that are bound to emerge. Therefore, the current study is an initiative to design a peptide-based chimeric vaccine that may potentially battle SARS-CoV-2 Omicron variant. As a result, the most relevant epitopes present in the mutagenic areas of Omicron spike protein were identified using a set of computational tools and immunoinformatic techniques to uncover common MHC-1, MHC-II, and B cell epitopes that may have the ability to influence the host immune mechanism. A final of three epitopes from CD8(+) T-cell, CD4(+) T-cell epitopes, and B-cell were shortlisted from spike protein, and that are highly antigenic, IFN-γ inducer, as well as overlapping for the construction of twelve vaccine models. As a result, the antigenic epitopes were coupled with a flexible and stable peptide linker, and the adjuvant was added at the N-terminal end to create a unique vaccine candidate. The structure of a 3D vaccine candidate was refined, and its quality was assessed by using web servers. However, the applied immunoinformatic study along with the molecular docking and simulation of 12 modeled vaccines constructs against six distinct HLAs, and TLRs (TLR2, and TLR4) complexes revealed that the V1 construct was non-allergenic, non-toxic, highly immunogenic, antigenic, and most stable. The vaccine candidate's stability was confirmed by molecular dynamics investigations. Finally, we studied the expression of the suggested vaccination using codon optimization and in-silico cloning. The current study proposed V1 Multi-Epitope Vaccine (MEV) as a significant vaccine candidate that may help the scientific community to treat SARS-CoV-2 infections. |
format | Online Article Text |
id | pubmed-9087879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90878792022-05-10 Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant Khan, Kanwal Khan, Salman Ali Jalal, Khurshid Ul-Haq, Zaheer Uddin, Reaz Virology Article The newly discovered SARS-CoV-2 Omicron variant B.1.1.529 is a Variant of Concern (VOC) announced by the World Health Organization (WHO). It's becoming increasingly difficult to keep these variants from spreading over the planet. The fifth wave has begun in several countries because of Omicron variant, and it is posing a threat to human civilization. As a result, we need effective vaccination that can tackle Omicron SARS-CoV-2 variants that are bound to emerge. Therefore, the current study is an initiative to design a peptide-based chimeric vaccine that may potentially battle SARS-CoV-2 Omicron variant. As a result, the most relevant epitopes present in the mutagenic areas of Omicron spike protein were identified using a set of computational tools and immunoinformatic techniques to uncover common MHC-1, MHC-II, and B cell epitopes that may have the ability to influence the host immune mechanism. A final of three epitopes from CD8(+) T-cell, CD4(+) T-cell epitopes, and B-cell were shortlisted from spike protein, and that are highly antigenic, IFN-γ inducer, as well as overlapping for the construction of twelve vaccine models. As a result, the antigenic epitopes were coupled with a flexible and stable peptide linker, and the adjuvant was added at the N-terminal end to create a unique vaccine candidate. The structure of a 3D vaccine candidate was refined, and its quality was assessed by using web servers. However, the applied immunoinformatic study along with the molecular docking and simulation of 12 modeled vaccines constructs against six distinct HLAs, and TLRs (TLR2, and TLR4) complexes revealed that the V1 construct was non-allergenic, non-toxic, highly immunogenic, antigenic, and most stable. The vaccine candidate's stability was confirmed by molecular dynamics investigations. Finally, we studied the expression of the suggested vaccination using codon optimization and in-silico cloning. The current study proposed V1 Multi-Epitope Vaccine (MEV) as a significant vaccine candidate that may help the scientific community to treat SARS-CoV-2 infections. Published by Elsevier Inc. 2022-07 2022-05-10 /pmc/articles/PMC9087879/ /pubmed/35576833 http://dx.doi.org/10.1016/j.virol.2022.05.001 Text en © 2022 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Khan, Kanwal Khan, Salman Ali Jalal, Khurshid Ul-Haq, Zaheer Uddin, Reaz Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title | Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title_full | Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title_fullStr | Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title_full_unstemmed | Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title_short | Immunoinformatic approach for the construction of multi-epitopes vaccine against omicron COVID-19 variant |
title_sort | immunoinformatic approach for the construction of multi-epitopes vaccine against omicron covid-19 variant |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087879/ https://www.ncbi.nlm.nih.gov/pubmed/35576833 http://dx.doi.org/10.1016/j.virol.2022.05.001 |
work_keys_str_mv | AT khankanwal immunoinformaticapproachfortheconstructionofmultiepitopesvaccineagainstomicroncovid19variant AT khansalmanali immunoinformaticapproachfortheconstructionofmultiepitopesvaccineagainstomicroncovid19variant AT jalalkhurshid immunoinformaticapproachfortheconstructionofmultiepitopesvaccineagainstomicroncovid19variant AT ulhaqzaheer immunoinformaticapproachfortheconstructionofmultiepitopesvaccineagainstomicroncovid19variant AT uddinreaz immunoinformaticapproachfortheconstructionofmultiepitopesvaccineagainstomicroncovid19variant |