Biochemical and Biophysical Research CommunicationsBioinformaticsPeer-reviewed journal article
Decoding the Effects of Spike Receptor Binding Domain Mutations on Antibody Escape Abilities of Omicron Variants
Sandipan ChakrabortyiD, Aditi Saha, Chiranjeet Saha, Sanjana Ghosh, Trisha Mondal
Abstract
Recent times witnessed an upsurge in the number of COVID 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 the approved therapeutic monoclonal antibodies, Bamlanivimab (LY-CoV555). 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.
- Citations
- 18
- FWCI
- 2.20
- Field percentile
- top 10%
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