Predictions of the SARS-CoV-2 Omicron Variant (B.1.1.529) Spike Protein Receptor-Binding Domain Structure and Neutralizing Antibody Interactions

Frontiers in Virology

Daniel A. Janies¹  Denis Jacob Machado¹  Colby T. Ford² 

[1] Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, United States;School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, United States;

关键词: SARS-CoV-2;    COVID-19;    bioinformatics;    computational biology;    protein-protein interaction (PPI);    machine learning;   

DOI  :  10.3389/fviro.2022.830202

来源: DOAJ

【 摘 要 】

The genome of the SARS-CoV-2 Omicron variant (B.1.1.529) was released on November 22, 2021, which has caused a flurry of media attention due the large number of mutations it contains. These raw data have spurred questions around vaccine efficacy. Given that neither the structural information nor the experimentally-derived antibody interaction of this variant are available, we have turned to predictive computational methods to model the mutated structure of the spike protein's receptor binding domain and posit potential changes to vaccine efficacy. In this study, we predict some structural changes in the receptor-binding domain that may reduce antibody interaction without completely evading existing neutralizing antibodies (and therefore current vaccines).

【 授权许可】

Unknown