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Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study

In December 2019, a new virus called SARS-CoV-2 was reported in China and quickly spread to other parts of the world. The development of SARS-COV-2 vaccines has recently received much attention from numerous researchers. The present study aims to design an effective multi-epitope vaccine against SAR...

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Autores principales: Sanami, Samira, Alizadeh, Morteza, Nosrati, Masoud, Dehkordi, Korosh Ashrafi, Azadegan-Dehkordi, Fatemeh, Tahmasebian, Shahram, Nosrati, Hamed, Arjmand, Mohammad-Hassan, Ghasemi-Dehnoo, Maryam, Rafiei, Ali, Bagheri, Nader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055380/
https://www.ncbi.nlm.nih.gov/pubmed/33895459
http://dx.doi.org/10.1016/j.compbiomed.2021.104390
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author Sanami, Samira
Alizadeh, Morteza
Nosrati, Masoud
Dehkordi, Korosh Ashrafi
Azadegan-Dehkordi, Fatemeh
Tahmasebian, Shahram
Nosrati, Hamed
Arjmand, Mohammad-Hassan
Ghasemi-Dehnoo, Maryam
Rafiei, Ali
Bagheri, Nader
author_facet Sanami, Samira
Alizadeh, Morteza
Nosrati, Masoud
Dehkordi, Korosh Ashrafi
Azadegan-Dehkordi, Fatemeh
Tahmasebian, Shahram
Nosrati, Hamed
Arjmand, Mohammad-Hassan
Ghasemi-Dehnoo, Maryam
Rafiei, Ali
Bagheri, Nader
author_sort Sanami, Samira
collection PubMed
description In December 2019, a new virus called SARS-CoV-2 was reported in China and quickly spread to other parts of the world. The development of SARS-COV-2 vaccines has recently received much attention from numerous researchers. The present study aims to design an effective multi-epitope vaccine against SARS-COV-2 using the reverse vaccinology method. In this regard, structural proteins from SARS-COV-2, including the spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins, were selected as target antigens for epitope prediction. A total of five helper T lymphocytes (HTL) and five cytotoxic T lymphocytes (CTL) epitopes were selected after screening the predicted epitopes for antigenicity, allergenicity, and toxicity. Subsequently, the selected HTL and CTL epitopes were fused via flexible linkers. Next, the cholera toxin B-subunit (CTxB) as an adjuvant was linked to the N-terminal of the chimeric structure. The proposed vaccine was analyzed for the properties of physicochemical, antigenicity, and allergenicity. The 3D model of the vaccine construct was predicted and docked with the Toll-like receptor 4 (TLR4). The molecular dynamics (MD) simulation was performed to evaluate the stable interactions between the vaccine construct and TLR4. The immune simulation was also conducted to explore the immune responses induced by the vaccine. Finally, in silico cloning of the vaccine construct into the pET-28 (+) vector was conducted. The results obtained from all bioinformatics analysis stages were satisfactory; however, in vitro and in vivo tests are essential to validate these results.
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spelling pubmed-80553802021-04-20 Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study Sanami, Samira Alizadeh, Morteza Nosrati, Masoud Dehkordi, Korosh Ashrafi Azadegan-Dehkordi, Fatemeh Tahmasebian, Shahram Nosrati, Hamed Arjmand, Mohammad-Hassan Ghasemi-Dehnoo, Maryam Rafiei, Ali Bagheri, Nader Comput Biol Med Article In December 2019, a new virus called SARS-CoV-2 was reported in China and quickly spread to other parts of the world. The development of SARS-COV-2 vaccines has recently received much attention from numerous researchers. The present study aims to design an effective multi-epitope vaccine against SARS-COV-2 using the reverse vaccinology method. In this regard, structural proteins from SARS-COV-2, including the spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins, were selected as target antigens for epitope prediction. A total of five helper T lymphocytes (HTL) and five cytotoxic T lymphocytes (CTL) epitopes were selected after screening the predicted epitopes for antigenicity, allergenicity, and toxicity. Subsequently, the selected HTL and CTL epitopes were fused via flexible linkers. Next, the cholera toxin B-subunit (CTxB) as an adjuvant was linked to the N-terminal of the chimeric structure. The proposed vaccine was analyzed for the properties of physicochemical, antigenicity, and allergenicity. The 3D model of the vaccine construct was predicted and docked with the Toll-like receptor 4 (TLR4). The molecular dynamics (MD) simulation was performed to evaluate the stable interactions between the vaccine construct and TLR4. The immune simulation was also conducted to explore the immune responses induced by the vaccine. Finally, in silico cloning of the vaccine construct into the pET-28 (+) vector was conducted. The results obtained from all bioinformatics analysis stages were satisfactory; however, in vitro and in vivo tests are essential to validate these results. Elsevier Ltd. 2021-06 2021-04-20 /pmc/articles/PMC8055380/ /pubmed/33895459 http://dx.doi.org/10.1016/j.compbiomed.2021.104390 Text en © 2021 Elsevier Ltd. All rights reserved. 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
Sanami, Samira
Alizadeh, Morteza
Nosrati, Masoud
Dehkordi, Korosh Ashrafi
Azadegan-Dehkordi, Fatemeh
Tahmasebian, Shahram
Nosrati, Hamed
Arjmand, Mohammad-Hassan
Ghasemi-Dehnoo, Maryam
Rafiei, Ali
Bagheri, Nader
Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title_full Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title_fullStr Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title_full_unstemmed Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title_short Exploring SARS-COV-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: An in silico study
title_sort exploring sars-cov-2 structural proteins to design a multi-epitope vaccine using immunoinformatics approach: an in silico study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055380/
https://www.ncbi.nlm.nih.gov/pubmed/33895459
http://dx.doi.org/10.1016/j.compbiomed.2021.104390
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