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Bioinformatics analysis of SARS-CoV-2 RBD mutant variants and insights into antibody and ACE2 receptor binding

View ORCID ProfilePrashant Ranjan, View ORCID ProfileNeha, View ORCID ProfileChandra Devi, Parimal Das
doi: https://doi.org/10.1101/2021.04.03.438113
Prashant Ranjan
1Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi-221005, India
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Neha
1Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi-221005, India
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Chandra Devi
1Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi-221005, India
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Parimal Das
1Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi-221005, India
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  • For correspondence: parimal@bhu.ac.in
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Abstract

Prevailing COVID-19 vaccines are based on the spike protein of earlier SARS-CoV-2 strain that emerged in Wuhan, China. Continuously evolving nature of SARS-CoV-2 resulting emergence of new variant/s raise the risk of immune absconds. Several RBD (receptor-binding domain) variants have been reported to affect the vaccine efficacy considerably. In the present study, we performed in silico structural analysis of spike protein of double mutant (L452R & E484Q), a new variant of SARS-CoV-2 recently reported in India along with K417G variants and earlier reported RBD variants and found structural changes in RBD region after comparing with the wild type. Comparison of the binding affinity of the double mutant and earlier reported RBD variant for ACE2 (angiotensin 2 altered enzymes) receptor and CR3022 antibody with the wild-type strain revealed the lowest binding affinity of the double mutant for CR3022 among all other variants. These findings suggest that the newly emerged double mutant could significantly reduce the impact of the current vaccine which threatens the protective efficacy of current vaccine therapy.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 04, 2021.
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Bioinformatics analysis of SARS-CoV-2 RBD mutant variants and insights into antibody and ACE2 receptor binding
Prashant Ranjan, Neha, Chandra Devi, Parimal Das
bioRxiv 2021.04.03.438113; doi: https://doi.org/10.1101/2021.04.03.438113
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Bioinformatics analysis of SARS-CoV-2 RBD mutant variants and insights into antibody and ACE2 receptor binding
Prashant Ranjan, Neha, Chandra Devi, Parimal Das
bioRxiv 2021.04.03.438113; doi: https://doi.org/10.1101/2021.04.03.438113

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