Unknown

Dataset Information

Modeling and mitigation of high-concentration antibody viscosity through structure-based computer-aided protein design.


ABSTRACT: For an antibody to be a successful therapeutic many competing factors require optimization, including binding affinity, biophysical characteristics, and immunogenicity risk. Additional constraints may arise from the need to formulate antibodies at high concentrations (>150 mg/ml) to enable subcutaneous dosing with reasonable volume (ideally <1.0 mL). Unfortunately, antibodies at high concentrations may exhibit high viscosities that place impractical constraints (such as multiple injections or large needle diameters) on delivery and impede efficient manufacturing. Here we describe the optimization of an anti-PDGF-BB antibody to reduce viscosity, enabling an increase in the formulated concentration from 80 mg/ml to greater than 160 mg/ml, while maintaining the binding affinity. We performed

SUBMITTER: Apgar JR 

PROVIDER: S-EPMC7205207 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature