Hongwen Zhu

PhosSight: a Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

PhosSight improves phosphoproteome identification by addressing acquisition biases in DDA and DIA, enhancing sensitivity and reducing missing values in cancer research.

Targeting protein glycosylation and cholesterol metabolism in chemoresistant pancreatic cancer

This study identifies statins as effective in targeting chemoresistant pancreatic cancer by inhibiting cholesterol metabolism and protein glycosylation, showing clinical benefit in a phase 2 trial.

Standardization and Harmonization of Distributed Multi-National Proteotype Analysis supporting Precision Medicine Studies

This paper standardizes a proteotype analysis workflow across multiple international sites to enable distributed, reproducible proteomic data generation for precision medicine.

Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites

This paper demonstrates that data-independent acquisition mass spectrometry can accurately localize phosphosites by analyzing site-determining ions.