Nicole M. Stephens

This study evaluates PS-SINS for predicting high-concentration viscosity of IgG1 antibodies, showing strong correlation with viscosity and improved model accuracy when combined with in silico data and DLS.

This paper develops a machine learning model to predict Trp oxidation risk in antibodies and shows that modulating electrostatic potential reduces oxidation while maintaining binding affinity.