tetano
Editor, Senior Moderator
Sci Rep
. 2020 Aug 25;10(1):14179.
doi: 10.1038/s41598-020-70864-8.
Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome
Stephen N Crooke[SUP] 1 [/SUP], Inna G Ovsyannikova[SUP] 1 [/SUP], Richard B Kennedy[SUP] 1 [/SUP], Gregory A Poland[SUP] 2 [/SUP]
Affiliations
Abstract
A novel coronavirus (SARS-CoV-2) emerged from China in late 2019 and rapidly spread across the globe, infecting millions of people and generating societal disruption on a level not seen since the 1918 influenza pandemic. A safe and effective vaccine is desperately needed to prevent the continued spread of SARS-CoV-2; yet, rational vaccine design efforts are currently hampered by the lack of knowledge regarding viral epitopes targeted during an immune response, and the need for more in-depth knowledge on betacoronavirus immunology. To that end, we developed a computational workflow using a series of open-source algorithms and webtools to analyze the proteome of SARS-CoV-2 and identify putative T cell and B cell epitopes. Utilizing a set of stringent selection criteria to filter peptide epitopes, we identified 41 T cell epitopes (5 HLA class I, 36 HLA class II) and 6 B cell epitopes that could serve as promising targets for peptide-based vaccine development against this emerging global pathogen. To our knowledge, this is the first study to comprehensively analyze all 10 (structural, non-structural and accessory) proteins from SARS-CoV-2 using predictive algorithms to identify potential targets for vaccine development.
. 2020 Aug 25;10(1):14179.
doi: 10.1038/s41598-020-70864-8.
Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome
Stephen N Crooke[SUP] 1 [/SUP], Inna G Ovsyannikova[SUP] 1 [/SUP], Richard B Kennedy[SUP] 1 [/SUP], Gregory A Poland[SUP] 2 [/SUP]
Affiliations
- PMID: 32843695
- DOI: 10.1038/s41598-020-70864-8
Abstract
A novel coronavirus (SARS-CoV-2) emerged from China in late 2019 and rapidly spread across the globe, infecting millions of people and generating societal disruption on a level not seen since the 1918 influenza pandemic. A safe and effective vaccine is desperately needed to prevent the continued spread of SARS-CoV-2; yet, rational vaccine design efforts are currently hampered by the lack of knowledge regarding viral epitopes targeted during an immune response, and the need for more in-depth knowledge on betacoronavirus immunology. To that end, we developed a computational workflow using a series of open-source algorithms and webtools to analyze the proteome of SARS-CoV-2 and identify putative T cell and B cell epitopes. Utilizing a set of stringent selection criteria to filter peptide epitopes, we identified 41 T cell epitopes (5 HLA class I, 36 HLA class II) and 6 B cell epitopes that could serve as promising targets for peptide-based vaccine development against this emerging global pathogen. To our knowledge, this is the first study to comprehensively analyze all 10 (structural, non-structural and accessory) proteins from SARS-CoV-2 using predictive algorithms to identify potential targets for vaccine development.