Jinyin Zha

This paper introduces a deep learning framework for identifying dynamic protein allosteric sites across different conformational states, achieving improved performance over existing methods.

This paper presents a quantum computing framework for drug discovery that improves stability and performance in multiple stages, identifying novel druggable sites and compounds.

DASH samples function-related metastable states of proteins, revealing new folding states and allosteric sites, verified by experiments and crystal structures.