An AI-driven leap forward in peptide identification through deconvolution of chimeric spectra
Date: Monday, August 15th
Session: Afternoon session
Chimeric spectra are estimated to constitute >40% of DDA data, violating the assumption that one spectrum represents one peptide. Here, we describe a new intelligent search algorithm (CHIMERYS) that rethinks the analysis of tandem mass spectra from the ground up. It routinely doubles the number of peptide identifications and reaches identification rates of >80%.
