High-throughput characterization of colloidal properties of monoclonal antibodies

Abstract

In this work, we have significantly improved the AC-SINS method and used it for differentiating between mAbs with different levels of self-association in serum as well as in other formulation solutions. We find that the AC-SINS measurements are well correlated with several conventional antibody biophysical properties (solubility, aggregation) and non-conventional biophysical properties (non-specific interactions with non-adsorptive chromatography columns). Moreover, we have identified sequence features of antibodies that are responsible for their variable biophysical properties, and find strong correlation between our self-interaction measurements and computational predictions based on the sequences of the antibody binding loops. These findings highlight the potential of using high-throughput biophysical methods for rapid identification and optimization of mAbs for high concentration therapeutic applications.