Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784768105564602368 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9376164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Tabriz University of Medical Sciences (TUOMS Publishing Group) |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ysrafilysrafil designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT sapiunzulfiayu designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT astutiindwiani designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT anasirumohammadanas designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT slametnangsihsulastri designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT hartatihartati designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT husainfadli designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach AT damitisukmawatiahmad designingmultiepitopebasedpeptidevaccinecandidatesagainstsarscov2usingimmunoinformaticsapproach |