Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2

SARS-CoV-2 (Severe acute respiratory syndrome coronavirus-2) is a newly emerged beta coronavirus and etiolating agent of COVID-19. Considering the unprecedented increasing number of COVID-19 cases, the World Health Organization declared a public health emergency internationally on 11th March 2020. H...

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Main Authors: Niti Yashvardhini, Amit Kumar, Deepak Kumar Jha
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Canadian Journal of Infectious Diseases and Medical Microbiology
Online Access:http://dx.doi.org/10.1155/2021/6627141
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author Niti Yashvardhini
Amit Kumar
Deepak Kumar Jha
author_facet Niti Yashvardhini
Amit Kumar
Deepak Kumar Jha
author_sort Niti Yashvardhini
collection DOAJ
description SARS-CoV-2 (Severe acute respiratory syndrome coronavirus-2) is a newly emerged beta coronavirus and etiolating agent of COVID-19. Considering the unprecedented increasing number of COVID-19 cases, the World Health Organization declared a public health emergency internationally on 11th March 2020. However, existing drugs are insufficient in dealing with this contagious virus infection; therefore, a vaccine is exigent to curb this pandemic disease. In the present study, B- and T-cell immune epitopes were identified for RdRp (RNA-dependent RNA polymerase) protein using immunoinformatic techniques, which is proved to be a rapid and efficient method to explore the candidate peptide vaccine. Subsequently, antigenicity and interactions with HLA (human leukocyte antigen) alleles were estimated. Further, physicochemical properties, allergenicity, toxicity, and stability of RdRp protein were evaluated to demonstrate the specificity of the epitope candidates. Interestingly, we identified a total of 36 B-cell and 16 T-cell epitopes using epitopes predictive tools. Among the predicted epitopes, 26 B-cell and 9 T-cell epitopes showed non-allergenic, non-toxic, and highly antigenic properties. Altogether, our study revealed that RdRp of SARS-CoV-2 (an epitope-based peptide fragment) can be a potentially good candidate for the development of a vaccine against SARS-CoV-2.
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spelling doaj-art-985802ed668446a1ba8afada9fc4e4702025-02-03T01:05:25ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1712-95321918-14932021-01-01202110.1155/2021/66271416627141Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2Niti Yashvardhini0Amit Kumar1Deepak Kumar Jha2Department of Microbiology, Patna Women’s College, Patna 800 001, Bihar, IndiaDepartment of Botany, Patna University, Patna 800 005, Bihar, IndiaDepartment of Zoology, P. C. Vigyan Mahavidyalaya, Chapra, Bihar 841 301, IndiaSARS-CoV-2 (Severe acute respiratory syndrome coronavirus-2) is a newly emerged beta coronavirus and etiolating agent of COVID-19. Considering the unprecedented increasing number of COVID-19 cases, the World Health Organization declared a public health emergency internationally on 11th March 2020. However, existing drugs are insufficient in dealing with this contagious virus infection; therefore, a vaccine is exigent to curb this pandemic disease. In the present study, B- and T-cell immune epitopes were identified for RdRp (RNA-dependent RNA polymerase) protein using immunoinformatic techniques, which is proved to be a rapid and efficient method to explore the candidate peptide vaccine. Subsequently, antigenicity and interactions with HLA (human leukocyte antigen) alleles were estimated. Further, physicochemical properties, allergenicity, toxicity, and stability of RdRp protein were evaluated to demonstrate the specificity of the epitope candidates. Interestingly, we identified a total of 36 B-cell and 16 T-cell epitopes using epitopes predictive tools. Among the predicted epitopes, 26 B-cell and 9 T-cell epitopes showed non-allergenic, non-toxic, and highly antigenic properties. Altogether, our study revealed that RdRp of SARS-CoV-2 (an epitope-based peptide fragment) can be a potentially good candidate for the development of a vaccine against SARS-CoV-2.http://dx.doi.org/10.1155/2021/6627141
spellingShingle Niti Yashvardhini
Amit Kumar
Deepak Kumar Jha
Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
Canadian Journal of Infectious Diseases and Medical Microbiology
title Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
title_full Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
title_fullStr Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
title_full_unstemmed Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
title_short Immunoinformatics Identification of B- and T-Cell Epitopes in the RNA-Dependent RNA Polymerase of SARS-CoV-2
title_sort immunoinformatics identification of b and t cell epitopes in the rna dependent rna polymerase of sars cov 2
url http://dx.doi.org/10.1155/2021/6627141
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AT deepakkumarjha immunoinformaticsidentificationofbandtcellepitopesinthernadependentrnapolymeraseofsarscov2