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Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning

Fig 4

Quantification of the fitness effects of mutations in major circulating variants within the combinatorial mutation landscape, according to Geno-GNN.

(A) Contributions of nonfixed mutations to ACE2 affinity (upper panel) and immune escape (lower panel, conval: convalescent). (B) Contributions of fixed mutations to ACE2 affinity (right panel) and immune escape (left panel). Heatmap color scale indicates the extent of immune escape attributed to each mutation. White represents the absence of a contribution to immune escape for a given immune type. In bar plots, red bars indicate an increase in ACE2 affinity, whereas blue bars indicate a decrease. “Δ ACE2 affinity” represents the difference in the median ACE2 binding affinity between receptor binding domain (RBD) sequences with and without the mutation.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1013582.g004