Figure 2.
Figure 2. In silico design of deimmunized variants. Deimmunization strategy based on algorithm described in supplemental Figure 1. Deimmunization was applied to the neo-epitope identified in VA generated by introducing neo-sequences during protein engineering. (A) Positions in green indicate a predicted decrease in promiscuity scores for the given amino acid substitution. (B) Amino acid substitutions with a decreased promiscuity score were evaluated for conservation score; substitutions depicted in orange indicate substitutions with a conservation score ≥0.6. (C) The amino acid substitutions with a decrease in promiscuity score at nonconserved regions were evaluated using EVmutation; substitutions with a score ≥−0.25 are shown in blue. (D) The Log2 fold change of percent rank of predicted HLA-DRB1 binding compared with VA for each HLA allele. (E) Surface representation of FVII mutant (PDB ID: 3ELA). The potential mutation sites for deimmunization identified using RID are represented as sticks.

In silico design of deimmunized variants. Deimmunization strategy based on algorithm described in supplemental Figure 1. Deimmunization was applied to the neo-epitope identified in VA generated by introducing neo-sequences during protein engineering. (A) Positions in green indicate a predicted decrease in promiscuity scores for the given amino acid substitution. (B) Amino acid substitutions with a decreased promiscuity score were evaluated for conservation score; substitutions depicted in orange indicate substitutions with a conservation score ≥0.6. (C) The amino acid substitutions with a decrease in promiscuity score at nonconserved regions were evaluated using EVmutation; substitutions with a score ≥−0.25 are shown in blue. (D) The Log2 fold change of percent rank of predicted HLA-DRB1 binding compared with VA for each HLA allele. (E) Surface representation of FVII mutant (PDB ID: 3ELA). The potential mutation sites for deimmunization identified using RID are represented as sticks.

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