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Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2
BACKGROUND: Coronavirus disease 2019 (COVID-19) linked with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause severe illness and life-threatening pneumonia in humans. The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection. Therefore, t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492789/ https://www.ncbi.nlm.nih.gov/pubmed/32938504 http://dx.doi.org/10.1186/s40249-020-00752-w |
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author | Tahir ul Qamar, Muhammad Shahid, Farah Aslam, Sadia Ashfaq, Usman Ali Aslam, Sidra Fatima, Israr Fareed, Muhammad Mazhar Zohaib, Ali Chen, Ling-Ling |
author_facet | Tahir ul Qamar, Muhammad Shahid, Farah Aslam, Sadia Ashfaq, Usman Ali Aslam, Sidra Fatima, Israr Fareed, Muhammad Mazhar Zohaib, Ali Chen, Ling-Ling |
author_sort | Tahir ul Qamar, Muhammad |
collection | PubMed |
description | BACKGROUND: Coronavirus disease 2019 (COVID-19) linked with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause severe illness and life-threatening pneumonia in humans. The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection. Therefore, the present study was aimed to design a multiepitope-based subunit vaccine (MESV) against COVID-19. METHODS: Structural proteins (Surface glycoprotein, Envelope protein, and Membrane glycoprotein) of SARS-CoV-2 are responsible for its prime functions. Sequences of proteins were downloaded from GenBank and several immunoinformatics coupled with computational approaches were employed to forecast B- and T- cell epitopes from the SARS-CoV-2 highly antigenic structural proteins to design an effective MESV. RESULTS: Predicted epitopes suggested high antigenicity, conserveness, substantial interactions with the human leukocyte antigen (HLA) binding alleles, and collective global population coverage of 88.40%. Taken together, 276 amino acids long MESV was designed by connecting 3 cytotoxic T lymphocytes (CTL), 6 helper T lymphocyte (HTL) and 4 B-cell epitopes with suitable adjuvant and linkers. The MESV construct was non-allergenic, stable, and highly antigenic. Molecular docking showed a stable and high binding affinity of MESV with human pathogenic toll-like receptors-3 (TLR3). Furthermore, in silico immune simulation revealed significant immunogenic response of MESV. Finally, MEV codons were optimized for its in silico cloning into the Escherichia coli K-12 system, to ensure its increased expression. CONCLUSION: The MESV developed in this study is capable of generating immune response against COVID-19. Therefore, if designed MESV further investigated experimentally, it would be an effective vaccine candidate against SARS-CoV-2 to control and prevent COVID-19. |
format | Online Article Text |
id | pubmed-7492789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74927892020-09-16 Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 Tahir ul Qamar, Muhammad Shahid, Farah Aslam, Sadia Ashfaq, Usman Ali Aslam, Sidra Fatima, Israr Fareed, Muhammad Mazhar Zohaib, Ali Chen, Ling-Ling Infect Dis Poverty Research Article BACKGROUND: Coronavirus disease 2019 (COVID-19) linked with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause severe illness and life-threatening pneumonia in humans. The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection. Therefore, the present study was aimed to design a multiepitope-based subunit vaccine (MESV) against COVID-19. METHODS: Structural proteins (Surface glycoprotein, Envelope protein, and Membrane glycoprotein) of SARS-CoV-2 are responsible for its prime functions. Sequences of proteins were downloaded from GenBank and several immunoinformatics coupled with computational approaches were employed to forecast B- and T- cell epitopes from the SARS-CoV-2 highly antigenic structural proteins to design an effective MESV. RESULTS: Predicted epitopes suggested high antigenicity, conserveness, substantial interactions with the human leukocyte antigen (HLA) binding alleles, and collective global population coverage of 88.40%. Taken together, 276 amino acids long MESV was designed by connecting 3 cytotoxic T lymphocytes (CTL), 6 helper T lymphocyte (HTL) and 4 B-cell epitopes with suitable adjuvant and linkers. The MESV construct was non-allergenic, stable, and highly antigenic. Molecular docking showed a stable and high binding affinity of MESV with human pathogenic toll-like receptors-3 (TLR3). Furthermore, in silico immune simulation revealed significant immunogenic response of MESV. Finally, MEV codons were optimized for its in silico cloning into the Escherichia coli K-12 system, to ensure its increased expression. CONCLUSION: The MESV developed in this study is capable of generating immune response against COVID-19. Therefore, if designed MESV further investigated experimentally, it would be an effective vaccine candidate against SARS-CoV-2 to control and prevent COVID-19. BioMed Central 2020-09-16 /pmc/articles/PMC7492789/ /pubmed/32938504 http://dx.doi.org/10.1186/s40249-020-00752-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Tahir ul Qamar, Muhammad Shahid, Farah Aslam, Sadia Ashfaq, Usman Ali Aslam, Sidra Fatima, Israr Fareed, Muhammad Mazhar Zohaib, Ali Chen, Ling-Ling Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title_full | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title_fullStr | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title_full_unstemmed | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title_short | Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 |
title_sort | reverse vaccinology assisted designing of multiepitope-based subunit vaccine against sars-cov-2 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492789/ https://www.ncbi.nlm.nih.gov/pubmed/32938504 http://dx.doi.org/10.1186/s40249-020-00752-w |
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