Peize Zhao

This study identifies proteome-level amino acid substitutions in Alzheimer's disease using proteomic datasets and a specialized pipeline, revealing novel substitutions not detectable through genomic or transcriptomic methods.

This study introduces a proteomic approach to identify amino acid substitutions in cancer, revealing novel substitutions and their roles in drug resistance and immune escape.

PIPI-C identifies PTM crosstalks in mass spectrometry data using a combinatorial optimization framework, revealing upregulated PTM patterns in cancer datasets.

This study introduces SeaPIC, an XL-MS tool for identifying post-translational modifications in protein-protein interactions and structures, successfully detecting previously undiscovered PTMs.

AbFold improves antibody structure prediction by refining 3D point clouds and using unsupervised learning, achieving better accuracy than AlphaFold and IgFold for CDR loops.