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Understanding the B and T cells epitopes of spike protein of severe respiratory syndrome coronavirus-2: A computational way to predict the immunogens

Yoya Vashi, Vipin Jagrit, View ORCID ProfileSachin Kumar
doi: https://doi.org/10.1101/2020.04.08.013516
Yoya Vashi
Viral Immunology Group, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039 Assam India
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Vipin Jagrit
Viral Immunology Group, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039 Assam India
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Sachin Kumar
Viral Immunology Group, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039 Assam India
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  • ORCID record for Sachin Kumar
  • For correspondence: sachinku@iitg.ac.in
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Abstract

The 2019 novel severe respiratory syndrome coronavirus-2 (SARS-CoV-2) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide. The present study followed computational approaches to identify B- and T-cell epitopes for spike glycoprotein of SARS-CoV-2 by its interactions with the human leukocyte antigen alleles. We identified twenty-four peptide stretches on the SARS-CoV-2 spike protein that are well conserved among the reported strains. The S protein structure further validated the presence of predicted peptides on the surface. Out of which twenty are surface exposed and predicted to have reasonable epitope binding efficiency. The work could be useful for understanding the immunodominant regions in the surface protein of SARS-CoV-2 and could potentially help in designing some peptide-based diagnostics.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 10, 2020.
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Understanding the B and T cells epitopes of spike protein of severe respiratory syndrome coronavirus-2: A computational way to predict the immunogens
Yoya Vashi, Vipin Jagrit, Sachin Kumar
bioRxiv 2020.04.08.013516; doi: https://doi.org/10.1101/2020.04.08.013516
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Understanding the B and T cells epitopes of spike protein of severe respiratory syndrome coronavirus-2: A computational way to predict the immunogens
Yoya Vashi, Vipin Jagrit, Sachin Kumar
bioRxiv 2020.04.08.013516; doi: https://doi.org/10.1101/2020.04.08.013516

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