Crooke, Stephen N.
Ovsyannikova, Inna G.
Kennedy, Richard B.
Poland, Gregory A.
2020-09-17T20:55:06Z
2020-09-17T20:55:06Z
2020
2045 2322
https://doi.org/10.1038/s41598-020-70864-8
http://hdl.handle.net/20.500.12010/13390
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 infuenza pandemic. A safe and efective vaccine is desperately needed to prevent the continued
spread of SARS-CoV-2; yet, rational vaccine design eforts 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
workfow 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 flter peptide epitopes, we identifed 41T 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 frst 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.
15 páginas
application/pdf
eng
Scientific reports
reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
SARS‑CoV‑2
Proteome
Immunoinformatic identifcation
B cell
T cell
Immunoinformatic identifcation of B cell and T cell epitopes in the SARS‐CoV‐2 proteome
Artículo
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
Abierto (Texto Completo)
https://doi.org/10.1038/s41598-020-70864-8
http://purl.org/coar/resource_type/c_2df8fbb1