Method for improving data dependent ion selection in tandem mass spectroscopy of protein digests

摘要

Proteins in a sample are subjected to a computational digest to provide a set of predictive peptides for the protein. The predictive set of peptides are analyzed for their degree of prediction for the protein and rank-ordered to create a set of optimal predictor peptides. The optimal predictor peptides are then used to provide m/z ranges to the control software for the mass spectrometer to use as recommendations for ion selection for second stage analysis.