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Updated: Oct 30, 2025

Engineering Antiviral Agents via Surface Plasmon Resonance
Published on: June 14, 2022
Insilico study on the effect of SARS-CoV-2 RBD hotspot mutants' interaction with ACE2 to understand the binding
1School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Abstract:
The fall of 2020 brought several new variants of SARS-CoV-2 circulating across the globe, and the steadily increasing COVID-19 cases are responsible for the emergence of these variants. All the SARS-CoV-2 variants reported to date have multiple mutations in the spike (S) protein, specifically in the receptor-binding domain (RBD). Here, we employed an integrated computational approach involving structure and sequence based predictions to study the effect of naturally occurring variations in the S-RBD on its stability and ACE2 binding affinity. The hotspot stabilizing residue mutations N501I, N501Y, Q493L, Q493H and K417R, strengthen the RBD-ACE2 complex by modulating the interaction statistics at the interface. Thus, we report here some critical mutations that could increase the binding affinity of the SARS-CoV-2 RBD with ACE2, increasing the viral infectivity and pathogenicity. Understanding the effect of these mutations will help in developing potential vaccines and therapeutics.
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