Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review

Sat Dec 10 01:14:39 2022

(2020) Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review. International Immunopharmacology. p. 10. ISSN 1567-5769

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Abstract

The beginning of 2020 was marked as the emergence of a COVID-19 outbreak caused by a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, there is no vaccine or approved treatment for this infectious virus so the invention of an efficient vaccine is certainly a high priority. Some studies have employed several techniques to facilitate the combination of the immunoinformatics approach and comparative genomic approach in order to determine the potential peptides for designing the T-cell epitope-based peptide vaccine using the 2019-nCoV envelope protein as a target. Via screening the bioimmunoinformatic SARS-CoV2 derived B-cell and T-cell epitopes within the basic immunogenic of SARS-CoV2 proteins, we presented a set of inferred B-cell and T-cell epitopes from the spike (S) and nucleocapsid (N) proteins with high antigenicity and without allergenic property or toxic effects. Our findings provide a screened set of epitopes that can be introduced as potential targets for developing peptide vaccines against the SARS-CoV-2 virus.

Item Type: Article
Creators:
CreatorsEmail
Noorimotlagh, Z.UNSPECIFIED
Karami, C.UNSPECIFIED
Mirzaee, S. A.UNSPECIFIED
Kaffashian, M.UNSPECIFIED
Mami, S.UNSPECIFIED
Azizi, M.UNSPECIFIED
Keywords: SARS-CoV-2 COVID-19 T-cell epitopes B-cell epitopes Bioinformatics coronavirus sars pneumonia Immunology Pharmacology & Pharmacy
Divisions:
Page Range: p. 10
Journal or Publication Title: International Immunopharmacology
Journal Index: ISI
Volume: 86
Identification Number: https://doi.org/10.1016/j.intimp.2020.106738
ISSN: 1567-5769
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/3043

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