Dmitri Zorine

The paper designs nanomolar binders for diverse small molecules using a pseudocycle-based shape complementarity method, enabling direct conversion into sensing systems.

This study designs 25 new stable alpha-beta repeat proteins using Rosetta and deep learning, finding that terminal caps improve solubility and design success.

The paper designs closed repeat proteins with central pockets using deep learning and validates them in E. coli, showing structural consistency and potential for small molecule binding.