George S. Biggs

This study identifies factors governing cysteine detection in chemoproteomics using machine learning and statistical filtering, showing that peptide properties and abundance are key determinants.

This paper develops a label-free chemoproteomics platform to profile cysteine-reactive fragments, identifying over 400 ligand-protein interactions in two cell lines.