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Using AlphaFold2 and HADDOCK, we have generated a predicted structure for the SARS-CoV-2 B.1.1.529 variant's Spike receptor binding domain and then predicted the binding interaction with neutralizing antibodies. This was performed to understand the potential structural changes in the receptor binding domain of B.1.1.529 and how this may affect vaccine efficacy through antibody interaction.
Machine Learning, Deep Learning, SARS-CoV-2, Virology, COVID-19, Computational Biology, Genomics
Machine Learning, Deep Learning, SARS-CoV-2, Virology, COVID-19, Computational Biology, Genomics
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