Xiaofang Zhong

This paper introduces a scalable proximity proteomics pipeline that improves reproducibility and throughput in biotinylation-based spatial proteomics.

This paper designs drug-binding proteins with low nanomolar affinity and predictable specificity using computational methods, validated by experimental measurements and structural analysis.

The paper systematically analyzes proteomic and genomic data of SARS-CoV-2 variants to identify how mutations affect viral gene expression, host interactions, and immune evasion.