Revealing SARS-CoV-2 M^pro mutation cold and hot spots: Dynamic residue network analysis meets machine learning.

For the top 102 and bottom 101 residue bins, hypergeometric analysis showed highly significant enrichment of non-mutating residues in the top bin and depletion in the bottom bin, with p-values less than 0.01 for both the 0 and 20 mutation frequency cut-offs ( Table 6 ) .

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