Hanlun Jiang

This paper presents a modular strategy to design programmable, highly porous protein crystals with tunable architectures and composition, enabling applications in catalysis and biomedicine.

This study designs Ras isoform-specific binders using deep learning to target the C-termini of Ras proteins, enabling specific inhibition and study of their roles in biology and disease.

The paper designs proteins that bind intrinsically disordered regions with high affinity and specificity across diverse targets.