Qunxiang Ong

The paper introduces a hybrid machine learning framework that improves protein-ligand interaction prediction by combining biophysicochemical insights with large-scale representations, achieving faster and more accurate virtual screening.

This paper develops an optogenetic tool to control PKC epsilon activity with spatiotemporal precision and validates its function in phosphorylation events.

This study introduces Opto-OGT, an optogenetic tool to control O-GlcNAc modification, showing its ability to modulate mTORC and AKT signaling in response to light.

This study compares the effectiveness of different UVC wavelengths in inactivating coronaviruses, finding that 277-nm UVC LED is most effective due to spike protein degradation.

This paper develops light-inducible methods to activate TrkA signaling without NGF, enabling precise spatial and temporal control of neuronal signaling pathways.