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Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach

As the number of infections and deaths caused by the recent COVID-19 pandemic is increasing dramatically day-by-day, scientists are rushing towards developing possible countermeasures to fight the deadly virus, SARS-CoV-2. Although many efforts have already been put forward for developing potential...

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Autores principales: Sarkar, Bishajit, Ullah, Md Asad, Araf, Yusha, Rahman, Mohammad Shahedur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656168/
https://www.ncbi.nlm.nih.gov/pubmed/33200088
http://dx.doi.org/10.1016/j.imu.2020.100478
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author Sarkar, Bishajit
Ullah, Md Asad
Araf, Yusha
Rahman, Mohammad Shahedur
author_facet Sarkar, Bishajit
Ullah, Md Asad
Araf, Yusha
Rahman, Mohammad Shahedur
author_sort Sarkar, Bishajit
collection PubMed
description As the number of infections and deaths caused by the recent COVID-19 pandemic is increasing dramatically day-by-day, scientists are rushing towards developing possible countermeasures to fight the deadly virus, SARS-CoV-2. Although many efforts have already been put forward for developing potential vaccines; however, most of them are proved to possess negative consequences. Therefore, in this study, immunoinformatics methods were exploited to design a novel epitope-based subunit vaccine against the SARS-CoV-2, targeting four essential proteins of the virus i.e., spike glycoprotein, nucleocapsid phosphoprotein, membrane glycoprotein, and envelope protein. The highly antigenic, non-allergenic, non-toxic, non-human homolog, and 100% conserved (across other isolates from different regions of the world) epitopes were used for constructing the vaccine. In total, fourteen CTL epitopes and eighteen HTL epitopes were used to construct the vaccine. Thereafter, several in silico validations i.e., the molecular docking, molecular dynamics simulation (including the RMSF and RMSD studies), and immune simulation studies were also performed which predicted that the designed vaccine should be quite safe, effective, and stable within the biological environment. Finally, in silico cloning and codon adaptation studies were also conducted to design an effective mass production strategy of the vaccine. However, more in vitro and in vivo studies are required on the predicted vaccine to finally validate its safety and efficacy.
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spelling pubmed-76561682020-11-12 Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach Sarkar, Bishajit Ullah, Md Asad Araf, Yusha Rahman, Mohammad Shahedur Inform Med Unlocked Article As the number of infections and deaths caused by the recent COVID-19 pandemic is increasing dramatically day-by-day, scientists are rushing towards developing possible countermeasures to fight the deadly virus, SARS-CoV-2. Although many efforts have already been put forward for developing potential vaccines; however, most of them are proved to possess negative consequences. Therefore, in this study, immunoinformatics methods were exploited to design a novel epitope-based subunit vaccine against the SARS-CoV-2, targeting four essential proteins of the virus i.e., spike glycoprotein, nucleocapsid phosphoprotein, membrane glycoprotein, and envelope protein. The highly antigenic, non-allergenic, non-toxic, non-human homolog, and 100% conserved (across other isolates from different regions of the world) epitopes were used for constructing the vaccine. In total, fourteen CTL epitopes and eighteen HTL epitopes were used to construct the vaccine. Thereafter, several in silico validations i.e., the molecular docking, molecular dynamics simulation (including the RMSF and RMSD studies), and immune simulation studies were also performed which predicted that the designed vaccine should be quite safe, effective, and stable within the biological environment. Finally, in silico cloning and codon adaptation studies were also conducted to design an effective mass production strategy of the vaccine. However, more in vitro and in vivo studies are required on the predicted vaccine to finally validate its safety and efficacy. The Authors. Published by Elsevier Ltd. 2020 2020-11-11 /pmc/articles/PMC7656168/ /pubmed/33200088 http://dx.doi.org/10.1016/j.imu.2020.100478 Text en © 2020 The Authors 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
Sarkar, Bishajit
Ullah, Md Asad
Araf, Yusha
Rahman, Mohammad Shahedur
Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title_full Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title_fullStr Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title_full_unstemmed Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title_short Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach
title_sort engineering a novel subunit vaccine against sars-cov-2 by exploring immunoinformatics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656168/
https://www.ncbi.nlm.nih.gov/pubmed/33200088
http://dx.doi.org/10.1016/j.imu.2020.100478
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