Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
Nature Medicine, Published online: 31 July 2023; doi:10.1038/s41591-023-02483-5
Based on a newly developed deep-learning model for predicting the binding affinities of protein–protein interactions, the effects of SARS-CoV-2 spike protein variants on binding to the ACE2 receptor and neutralizing antibodies were analyzed and used to predict immune escape and viral evolution.
Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
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