Structure-Based Charge Calculations for Predicting Properties and Profiling Antibody Therapeutics
Sino Biological presents a method for modeling antibodies and performing pH-dependent conformational sampling, which can enhance property calculations. Structure-based charge descriptors are evaluated for their predictive performance on recently published antibody pI, viscosity and clearance data.
From this, four rules for therapeutic antibody profiling were devised, addressing developability issues from hydrophobicity and charge-based solution behavior, PK, and enrichment for FDA-approved antibodies. Differences in optimizing the solution behavior of human IgG1 versus IgG2 and IgG4 isotypes, and the impact of pH in formulation, are discussed.
Key Learning Objectives
- Methods for generating 3D antibody models from 2D protein sequence information
- Computational approaches for assessing the developability of biotherapeutics
- Application of protein descriptors for biophysical property predictions
- Rules for profiling antibody therapeutics
- Considerations for subclass and isotype in solution behavior and formulation
Watch Now: Structure-Based Charge Calculations for Predicting Properties and Profiling Antibody Therapeutics
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- March 16, 2022
- kbiinfo@krishgen.com
- +91 22 49198700
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