Integrating complementary biological information for multi-objective enzyme engineering
Nathaniel Blalock, Yvett Sosa, James Heuschkel, Ruihao Li, Xu Ma, Suttipol Radomkit, Hao Wu, Frédéric G. Buono, Jeff Song, Noah B. Pefaur, Laura J. Kingsley, Philip A. Romero
This study develops a machine learning framework to engineer enzymes by integrating sparse data with evolutionary and structural information, achieving improvements in catalytic performance, yield, and stability.
bioRxiv · Sep 17, 2026 · PreprintBioengineering