Shlomo Yakir Hoch

This paper introduces Riff-Diff, a machine learning and atomistic modeling method for designing enzymes with high catalytic activity and stereoselectivity, demonstrating its effectiveness for two chemical reactions.

This paper presents a computational design of high-efficiency Kemp eliminases with unprecedented catalytic efficiency and stability through de novo enzyme design.

GGAssembler designs and synthesizes cost-effective combinatorial mutation libraries for protein engineering using a graph-theoretical approach.