Shanye Yin

MISSTE simulates multiscale tissue ecosystems to improve CAR-T therapy by identifying spatial access as a key bottleneck for immune persistence and tumor control.

This paper develops a deep learning framework to predict protein flexibility from static structural data, achieving moderate accuracy and identifying key structural features associated with flexibility.

This study uses kinetic Monte-Carlo simulations to model protein-protein interactions in PROTAC-induced ternary complex formation, showing that cooperativity affects association into native-like configurations.

This study uses scRNA-seq to analyze how chemotherapy remodels the immune landscape and metabolic state in lung adenocarcinoma, identifying changes in macrophage subtypes and immune responses.

The paper identifies downregulation of the CCR1 immune pathway in SF3B1-mutated cancers and links it to potential therapeutic targets.