Fig. 3: Screening RBD libraries for ACE2 binding and antibody escape by yeast display and deep sequencing. | Nature Biomedical Engineering

Fig. 3: Screening RBD libraries for ACE2 binding and antibody escape by yeast display and deep sequencing.

From: Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2

Fig. 3: Screening RBD libraries for ACE2 binding and antibody escape by yeast display and deep sequencing.

a,b, Workflow for sorting of yeast display RBD libraries and FACS dot plots for ACE2 (a) and antibodies Brii-198 and ZCB11 (b). Gating schemes correspond to binding and non-binding (escape) RBD variant populations. c,d Heat maps depicting the binding score of each amino acid per position of full-length RBD following sorting and deep sequencing of libraries for ACE2 (c) and ZCB11 (d); higher binding score indicates greater frequency in the binding population versus non-binding population. Wild-type BA.1 residues are in grey. e, Heat maps for seq-libraries A and B depicting binding scores for ACE2 and antibodies of key mutations seen in major Omicron sublineage variants.

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