Immunoinformatic identifcation of B cell and T cell epitopes in the SARS‐CoV‐2 proteome

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.

• Tipo de recurso: Article of investigation
• Fecha de publicación: 2020
• Institución: Universidad de Bogotá Jorge Tadeo Lozano
• Repositorio: Expeditio: repositorio UTadeo
• Idioma: eng
• OAI Identifier: oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13390
• Acceso en línea: https://doi.org/10.1038/s41598-020-70864-8; http://hdl.handle.net/20.500.12010/13390
• Palabra clave: SARS‑CoV‑2; Proteome; Immunoinformatic identifcation; B cell; T cell; Síndrome respiratorio agudo grave; COVID-19; SARS-CoV-2; Coronavirus
• License: Abierto (Texto Completo)