Daniel E. Mattox

This paper introduces glyBERT, a deep learning model that captures local and global context in glycan structures to improve prediction and generation of glycan functional properties.

This study identifies global determinants of lectin specificity by analyzing 221 physicochemical and geometric features of lectin-glycan interactions and demonstrates predictive modeling of glycan recognition.