Sample Sentinel APART™ output

Reach Our Protein Experts:

appliedproteinservices@lonza.com

After identifying the residues that contribute to aggregation, the antibody re-engineering functionality of the platform provides a guided approach for suitable amino acid substitutions and change in aggregation risk. The tool determines if the amino acid has antigen or VH/VL contact or is solvent accessible. In addition, the platform also takes into consideration the potential impact on higher-risk post translational modifications including N-glycosylation, deamidation and oxidation in the re-engineered antibody sequence.

1-point Randomisation

Characterizes the change in predicted aggregation risk due to a single substitution in an antibody sequence. A heat map is calculated by substituting each residue in the antibody sequence to all possible amino acids, and predicts the aggregation class and score for the new variants. ΔScore values are used to represent the aggregation risk change in the heat map. In addition, key antibody engineering rules are applied .   

2-point Randomisation

Characterizes the change in predicted aggregation risk due to two substitutions in an antibody sequence. A heat map is calculated by making two simultaneous substitutions in the antibody sequence (for each pair of residues) to all possible amino acids, and predicts the aggregation class and score for the new variants. ΔScore values are used to represent the aggregation risk change in the map. As above, key antibody engineering rules are also applied.