Japheth E. Gado

This paper introduces BADASS, an optimization algorithm for protein design that improves fitness prediction and sequence diversity compared to existing methods.

This study uses machine learning to identify sequence features that predict functional subtypes and CBM presence in GH7 glycoside hydrolases with high accuracy.

This study improves enzyme optimum temperature prediction by applying ensemble learning and resampling strategies to address data imbalance, reducing error on high Topt values and increasing overall R2.