Rui Zhan

This study introduces individual docking, a method that improves virtual screening by generating receptor conformations specifically for each ligand, showing better enrichment factors than standard docking.

This paper introduces AFLF, a method to generate diverse protein conformations from sequence using AlphaFold's latent space, showing it captures structural fluctuations and binding sites.

This paper introduces ErePOC, a contrastive learning model for representing protein binding pockets, which improves DEL target selection by identifying shared characteristics and functional similarities.