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Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach

[Image: see text] Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from t...

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Autores principales: Ysrafil, Ysrafil, Sapiun, Zulfiayu, Astuti, Indwiani, Anasiru, Mohammad Anas, Slamet, Nangsih Sulastri, Hartati, Hartati, Husain, Fadli, Damiti, Sukmawati Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences (TUOMS Publishing Group) 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376164/
https://www.ncbi.nlm.nih.gov/pubmed/35975206
http://dx.doi.org/10.34172/bi.2022.23769
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author Ysrafil, Ysrafil
Sapiun, Zulfiayu
Astuti, Indwiani
Anasiru, Mohammad Anas
Slamet, Nangsih Sulastri
Hartati, Hartati
Husain, Fadli
Damiti, Sukmawati Ahmad
author_facet Ysrafil, Ysrafil
Sapiun, Zulfiayu
Astuti, Indwiani
Anasiru, Mohammad Anas
Slamet, Nangsih Sulastri
Hartati, Hartati
Husain, Fadli
Damiti, Sukmawati Ahmad
author_sort Ysrafil, Ysrafil
collection PubMed
description [Image: see text] Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from the components of SARS-CoV-2 including its spike, nucleocapsid and ORF1a proteins. Since the addition of adjuvants including HABA protein and L7/L12 ribosomal are considered helpful to increase the effectiveness of the designed vaccine, we proposed to design multiepitope vaccines by two different adjuvants. Methods: We used the IEDB server to predict BCL and TCL epitopes that were characterized using online tools including VaxiJen, AllPred and IL-10 Prediction. The selected epitopes were further constructed into multiepitope vaccines. We also added two different adjuvants to the vaccine components in order to increase the effectiveness of the vaccines. The 3D-structured vaccines were built using trRosetta. They were further docked with different Toll-like-receptors (TLR 3, 4 and 8) and the entry receptor of SARS-CoV-2, ACE2 using ClusPro, PatchDock and refined by FireDock. All structures were visualized by USCF Chimera and PyMOL. Results: In this study, we succeeded in designing two different candidate vaccines by the addition of HABA protein and L7/L12 ribosomal as adjuvants. The two vaccines were almost equally good in terms of their physicochemical properties and characteristics. Likewise, their strong interactions with TLR3 4, 8 and ACE2 show the lowest energy level of both was estimated at more than -1,000. Interactions of vaccines with ACE2 and TLRs are essential for activation of immune responses and production of antibodies. Conclusion: The two designed and constructed multiepitope vaccine have good characteristics and may have the potential to activate humoral and cellular immune responses against SARS-CoV-2. Further research is worth considering to confirm the findings of this study.
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spelling pubmed-93761642022-08-15 Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach Ysrafil, Ysrafil Sapiun, Zulfiayu Astuti, Indwiani Anasiru, Mohammad Anas Slamet, Nangsih Sulastri Hartati, Hartati Husain, Fadli Damiti, Sukmawati Ahmad Bioimpacts Original Research [Image: see text] Introduction: The current incidence of the novel coronavirus disease has shown only small reductions of cases and has become a major public health challenge. Development of effective vaccines against the virus is still being encouraged such as multi-epitope vaccines designed from the components of SARS-CoV-2 including its spike, nucleocapsid and ORF1a proteins. Since the addition of adjuvants including HABA protein and L7/L12 ribosomal are considered helpful to increase the effectiveness of the designed vaccine, we proposed to design multiepitope vaccines by two different adjuvants. Methods: We used the IEDB server to predict BCL and TCL epitopes that were characterized using online tools including VaxiJen, AllPred and IL-10 Prediction. The selected epitopes were further constructed into multiepitope vaccines. We also added two different adjuvants to the vaccine components in order to increase the effectiveness of the vaccines. The 3D-structured vaccines were built using trRosetta. They were further docked with different Toll-like-receptors (TLR 3, 4 and 8) and the entry receptor of SARS-CoV-2, ACE2 using ClusPro, PatchDock and refined by FireDock. All structures were visualized by USCF Chimera and PyMOL. Results: In this study, we succeeded in designing two different candidate vaccines by the addition of HABA protein and L7/L12 ribosomal as adjuvants. The two vaccines were almost equally good in terms of their physicochemical properties and characteristics. Likewise, their strong interactions with TLR3 4, 8 and ACE2 show the lowest energy level of both was estimated at more than -1,000. Interactions of vaccines with ACE2 and TLRs are essential for activation of immune responses and production of antibodies. Conclusion: The two designed and constructed multiepitope vaccine have good characteristics and may have the potential to activate humoral and cellular immune responses against SARS-CoV-2. Further research is worth considering to confirm the findings of this study. Tabriz University of Medical Sciences (TUOMS Publishing Group) 2022 2022-02-27 /pmc/articles/PMC9376164/ /pubmed/35975206 http://dx.doi.org/10.34172/bi.2022.23769 Text en © 2022 The Author(s). https://creativecommons.org/licenses/by-nc/4.0/ This work is published by BioImpacts as an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Research
Ysrafil, Ysrafil
Sapiun, Zulfiayu
Astuti, Indwiani
Anasiru, Mohammad Anas
Slamet, Nangsih Sulastri
Hartati, Hartati
Husain, Fadli
Damiti, Sukmawati Ahmad
Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title_full Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title_fullStr Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title_full_unstemmed Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title_short Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach
title_sort designing multi-epitope based peptide vaccine candidates against sars-cov-2 using immunoinformatics approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376164/
https://www.ncbi.nlm.nih.gov/pubmed/35975206
http://dx.doi.org/10.34172/bi.2022.23769
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