4.7 Article

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

Journal

JOURNAL OF PROTEOME RESEARCH
Volume 8, Issue 4, Pages 1965-1971

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/pr800917p

Keywords

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

Funding

  1. CRUK
  2. EU FP6 Endotrack
  3. Wellcome Trust [074131]
  4. Cancer Research UK [10171] Funding Source: researchfish

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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.

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