Weiren Huang

This paper introduces SeeID, a near-infrared light-controlled proximity labeling method for studying dynamic protein interactomes in vitro and in vivo, revealing proteasome association with Parkin during mitophagy.

ACME improves peptide-MHC class I binding prediction using attention-based deep learning, outperforming existing methods and providing interpretable insights.

This study profiles somatic mutations in cfDNA and white blood cells from 1134 healthy individuals to understand mutation patterns and origins in cfDNA.