Combining Stability-Centered Atomistic Design with Machine Learning for Targeted Enzyme Optimization
Li Wan, Mahdi Bagherpoor Helabad, Lena Fraedrich, Sarel Jacob Fleishman, Martin J. Weissenborn
This paper introduces MLEE, a machine learning-assisted enzyme engineering workflow that improves hit rates for high-fitness enzyme variants compared to traditional methods.
bioRxiv · Jul 21, 2026 · PreprintBiochemistry