title: H-score, a mass accuracy driven rescoring approach for improved peptide identification in modification rich samples.
abstract: Currently, scoring algorithms of many popular search engines for tandem mass spectrometry (MS/MS) data only partially utilize the information content of high mass accuracy MS/MS data. We have developed a new rescoring scheme, H-score, that employs high mass accuracy matching of all detected fragment ions to candidate peptide sequences in an abundance independent fashion. Peptides for which b or y ions are found for all or almost all backbone fragmentation sites are rewarded. For peptide hits generated by Mascot, rescoring proved to be particularly beneficial when applied on samples containing many different potential modifications. For a histone sample acquired on an Orbitrap Velos using HCD for peptide fragmentation, the H-score identified 24% more spectra at 0.01 false positive rate than Mascot scoring of spectra processed according to state-of-the-art methods and 61% better than Mascot scoring of unprocessed MS/MS spectra. For a low-abundance sample, where many weak spectra were detected, these numbers went up to 53 and 190%, respectively. When applied on a kinase-enriched sample containing only a few modifications, a smaller but still significant gain of 5% was observed.
authors.affiliation: Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany. mikhail.savitski@cellzome.com
authors.forename: Mikhail M
authors.initials: MM
authors.lastname: Savitski
authors.forename: Toby
authors.initials: T
authors.lastname: Mathieson
authors.forename: Isabelle
authors.initials: I
authors.lastname: Becher
authors.forename: Marcus
authors.initials: M
authors.lastname: Bantscheff
mesh_terms: D000465:Algorithms; D030562:Databases, Protein; D013058:Mass Spectrometry / Q000379:methods*; D010446:Peptide Fragments / Q000032:analysis*; D040901:Proteomics / Q000379:methods
chemical_list: D010446:Peptide Fragments