Repository of Research and Investigative Information

Repository of Research and Investigative Information

Shahid Sadoughi University of Medical Sciences

Identification B and T-Cell epitopes and functional exposed amino acids of S protein as a potential vaccine candidate against SARS-CoV-2/COVID-19

(2020) Identification B and T-Cell epitopes and functional exposed amino acids of S protein as a potential vaccine candidate against SARS-CoV-2/COVID-19. Microbial Pathogenesis. p. 14. ISSN 0882-4010

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Abstract

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus that it disease spreads in over the world. Coronaviruses are single-stranded, positive-sense RNA viruses with a genome of approximately 30 KD, the largest genome among RNA viruses. Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness. At this time, there are no specific vaccines or treatments for COVID-19. So, there is an emergency need for vaccines and antiviral strategies. The spike protein is the major surface protein that it uses to bind to a receptor of another protein that acts as a doorway into a human cell. The putative antigenic epitopes may prove effective as novel vaccines for eradication and combating of COV19 infection. A combination of available bioinformatics tools are used to synthesis of such peptides that are important for the development of a vaccine. In conclusion, amino acids 250-800 were selected as effective B cell epitopes, T cell epitopes, and functional exposed amino acids in order to a recombinant vaccine against coronavirus.

Item Type: Article
Keywords: SARS-CoV-2/COVID-19 Spike protein T and B cell epitopes prediction Vaccine design neutralizing antibodies spike protein web server coronavirus prediction glycoprotein recognition topology outbreak model Immunology Microbiology
Page Range: p. 14
Journal or Publication Title: Microbial Pathogenesis
Journal Index: WoS
Volume: 148
Identification Number: https://doi.org/10.1016/j.micpath.2020.104459
ISSN: 0882-4010
Depositing User: Mr mahdi sharifi
URI: http://eprints.ssu.ac.ir/id/eprint/29247

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