An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses
Background/Objectives: The COVID-19 pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has exposed the vulnerabilities and unpreparedness of the global healthcare system in dealing with emerging zoonoses. In the past two decades, coronaviruses (CoV) have...
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114918/ http://psasir.upm.edu.my/id/eprint/114918/1/114918.pdf |
| _version_ | 1848866634077306880 |
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| author | Ong, Yu Chuan Tejo, Bimo Ario Yap, Wei Boon |
| author_facet | Ong, Yu Chuan Tejo, Bimo Ario Yap, Wei Boon |
| author_sort | Ong, Yu Chuan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Background/Objectives: The COVID-19 pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has exposed the vulnerabilities and unpreparedness of the global healthcare system in dealing with emerging zoonoses. In the past two decades, coronaviruses (CoV) have been responsible for three major viral outbreaks, and the likelihood of future outbreaks caused by these viruses is high and nearly inevitable. Therefore, effective prophylactic universal vaccines targeting multiple circulating and emerging coronavirus strains are warranted. Methods: This study utilized an immunoinformatic approach to identify evolutionarily conserved CD4+ (HTL) and CD8+ (CTL) T cells, and B-cell epitopes in the coronaviral spike (S) glycoprotein. Results: A total of 132 epitopes were identified, with the majority of them found to be conserved across the bat CoVs, pangolin CoVs, endemic coronaviruses, SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV). Their peptide sequences were then aligned and assembled to identify the overlapping regions. Eventually, two major peptide assemblies were derived based on their promising immune-stimulating properties. Conclusions: In this light, they can serve as lead candidates for universal coronavirus vaccine development, particularly in the search for pan-coronavirus multi-epitope universal vaccines that can confer protection against current and novel coronaviruses. |
| first_indexed | 2025-11-15T14:23:43Z |
| format | Article |
| id | upm-114918 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:23:43Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1149182025-02-10T04:17:16Z http://psasir.upm.edu.my/id/eprint/114918/ An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses Ong, Yu Chuan Tejo, Bimo Ario Yap, Wei Boon Background/Objectives: The COVID-19 pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has exposed the vulnerabilities and unpreparedness of the global healthcare system in dealing with emerging zoonoses. In the past two decades, coronaviruses (CoV) have been responsible for three major viral outbreaks, and the likelihood of future outbreaks caused by these viruses is high and nearly inevitable. Therefore, effective prophylactic universal vaccines targeting multiple circulating and emerging coronavirus strains are warranted. Methods: This study utilized an immunoinformatic approach to identify evolutionarily conserved CD4+ (HTL) and CD8+ (CTL) T cells, and B-cell epitopes in the coronaviral spike (S) glycoprotein. Results: A total of 132 epitopes were identified, with the majority of them found to be conserved across the bat CoVs, pangolin CoVs, endemic coronaviruses, SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV). Their peptide sequences were then aligned and assembled to identify the overlapping regions. Eventually, two major peptide assemblies were derived based on their promising immune-stimulating properties. Conclusions: In this light, they can serve as lead candidates for universal coronavirus vaccine development, particularly in the search for pan-coronavirus multi-epitope universal vaccines that can confer protection against current and novel coronaviruses. Multidisciplinary Digital Publishing Institute 2024-11-05 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114918/1/114918.pdf Ong, Yu Chuan and Tejo, Bimo Ario and Yap, Wei Boon (2024) An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses. Biomedicines, 12 (11). art. no. 2530. ISSN 2227-9059; eISSN: 2227-9059 https://www.mdpi.com/2227-9059/12/11/2530 10.3390/biomedicines12112530 |
| spellingShingle | Ong, Yu Chuan Tejo, Bimo Ario Yap, Wei Boon An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title | An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title_full | An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title_fullStr | An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title_full_unstemmed | An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title_short | An immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| title_sort | immunoinformatic approach for identifying and designing conserved multi-epitope vaccines for coronaviruses |
| url | http://psasir.upm.edu.my/id/eprint/114918/ http://psasir.upm.edu.my/id/eprint/114918/ http://psasir.upm.edu.my/id/eprint/114918/ http://psasir.upm.edu.my/id/eprint/114918/1/114918.pdf |