Wei Huang

SynFit improves protein fitness prediction by learning shared and property-specific sequence representations, outperforming existing methods in multi-objective optimization.

This paper designs and evolves de novo helical bundle proteins to catalyze enantioselective Ge-H insertion, showing improved efficiency and selectivity through computational analysis and directed evolution.