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PhosphoScan: A probability-based method for phosphorylation site prediction using MS2/MS3 pair information

  • Yunhu Wan
  • , Diane Cripps
  • , Stefani Thomas
  • , Patricia Campbell
  • , Nicholas Ambulos
  • , Ting Chen
  • , Austin Yang

Research output: Contribution to journalArticlepeer-review

Abstract

Phosphopeptide identification and phosphorylation site localization are crucial aspects of many biological studies. Furthermore, multiple phosphorylations of peptides make site localization even more difficult. We developed a probability-based method to unambiguously determine phosphorylation sites within phosphopeptides using MS2/3 pair information. A comparison test was performed with SEQUEST and MASCOT predictions using a spectral data set from a synthetic doubly phosphorylated peptide, and the results showed that PhosphoScan analysis yielded a 63% phosphopeptide localization improvement compared with SEQUEST and a 57% improvement compared with MASCOT.

Original languageEnglish (US)
Pages (from-to)2803-2811
Number of pages9
JournalJournal of Proteome Research
Volume7
Issue number7
DOIs
StatePublished - Jul 2008
Externally publishedYes

Keywords

  • MS2
  • MS3
  • Nl (neutral loss)
  • PTM (post translational modification)
  • Phosphorylation
  • Protein identification

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