Shengzhi Lai

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.