The effect of interfering ions on search algorithm performance for electron‐transfer dissociation data

Abstract
Collision‐activated dissociation and electron‐transfer dissociation (ETD) each produce spectra containing unique features. Though several database search algorithms (e.g. SEQUEST, MASCOT, and Open Mass Spectrometry Search Algorithm) have been modified to search ETD data, this consists chiefly of the ability to search for c‐ and z‐ions; additional ETD‐specific features are often unaccounted for and may hinder identification. Removal of these features via spectral processing increased total search sensitivity by ∼20% for both human and yeast data sets; unique peptide identifications increased by ∼17% for the yeast data sets and ∼16% for the human data set.
Funding Information
  • NIH (5T32GM08349)
  • The University of Wisconsin
  • Beckman Foundation, Eli Lilly
  • National Institutes of Health (R01GM080148, P01GM081629)