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Updated: Aug 30, 2025

Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies
Published on: August 29, 2017
Decoding the effects of spike receptor binding domain mutations on antibody escape abilities of omicron variants
Sandipan Chakraborty1, Aditi Saha2, Chiranjeet Saha2
1Center for Innovation in Molecular and Pharmaceutical Sciences (CIMPS), Dr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, 500046, India.
Abstract:
Recent times witnessed an upsurge in the number of COVID19 cases which is primarily attributed to the emergence of several omicron variants, although there is substantial population vaccination coverage across the globe. Currently, many therapeutic antibodies have been approved for emergency usage. The present study critically evaluates the effect of mutations observed in several omicron variants on the binding affinities of different classes of RBD-specific antibodies using a combined approach of immunoinformatics and binding free energy calculations. Our binding affinity data clearly show that omicron variants achieve antibody escape abilities by incorporating mutations at the immunogenic hotspot residues for each specific class of antibody. K417N and Y505H point mutations are primarily accountable for the loss of class I antibody binding affinities. The K417N/Q493R/Q498R/Y505H combined mutant significantly reduces binding affinities for all the class I antibodies. E484A single mutation, on the other hand, drastically reduces binding affinities for most of the class II antibodies. E484A and E484A/Q493R double mutations cause a 33-38% reduction in binding affinity for an approved therapeutic monoclonal antibody. The Q498R RBD mutation observed across all the omicron variants can reduce ∼12% binding affinity for REGN10987, a class III therapeutic antibody, and the L452R/Q498R double mutation causes a ∼6% decrease in binding affinities for another class III therapeutic antibody, LY-CoV1404. Our data suggest that achieving the immune evasion abilities appears to be the selection pressure behind the emergence of omicron variants.
Insights
Omicron variants evade antibodies through mutations in key regions, reducing therapeutic effectiveness. This study analyzes how specific mutations impact antibody binding, crucial for developing new COVID-19 treatments.
Area of Science:
- Virology
- Immunology
- Computational Biology
Background:
- COVID-19 cases surged due to Omicron variants despite global vaccination.
- Therapeutic antibodies are approved but their efficacy against variants is a concern.
Purpose of the Study:
- To evaluate the impact of Omicron mutations on the binding affinity of RBD-specific antibodies.
- To understand the mechanisms of antibody escape employed by Omicron variants.
Main Methods:
- Combined immunoinformatics and binding free energy calculations.
- Analysis of mutations in Omicron variants and their effect on antibody-receptor binding.
Main Results:
- Omicron mutations at immunogenic hotspots reduce antibody binding affinities.
- Specific mutations like K417N and Y505H affect Class I antibodies.
- E484A mutation significantly reduces binding for Class II antibodies and therapeutic monoclonal antibodies.
- Omicron mutations like Q498R and L452R/Q498R decrease binding affinity for Class III therapeutic antibodies.
Conclusions:
- Omicron variants utilize mutations to achieve immune evasion, impacting antibody efficacy.
- Understanding these mutations is vital for designing next-generation COVID-19 therapeutics.
- Immune evasion appears to be the primary selection pressure for Omicron variant emergence.
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