SLoMo: Automated Site Localization of Modifications from ETD/ECD Mass Spectra

CM Bailey, Steve Sweet, Debbie Cunningham, M Zeller, John Heath, Helen Cooper

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)
306 Downloads (Pure)

Abstract

Recently, software has become available to automate localization of phosphorylation sites from CID data and to assign associated confidence scores. We present an algorithm, SLoMo (Site Localization of Modifications), which extends this capability to ETD/ECD mass spectra. Furthermore, SLoMo caters for both high and low resolution data and allows for site-localization of any UniMod post-translational modification. SLoMo accepts input data from a variety of formats (e.g., Sequest, OMSSA). We validate SLoMo with high and low resolution ETD, ECD, and CID data
Original languageEnglish
Pages (from-to)1965-1971
Number of pages7
JournalJournal of Proteome Research
Volume8
Issue number4
Early online date10 Mar 2009
DOIs
Publication statusPublished - Apr 2009

Keywords

  • site localization
  • mass spectrometry
  • post-translational modifications
  • phosphoproteomics
  • phosphopeptide
  • bioinformatics
  • phosphorylation
  • Ascore

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