4.7 Article

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

期刊

JOURNAL OF PROTEOME RESEARCH
卷 8, 期 4, 页码 1965-1971

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr800917p

关键词

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

资金

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

向作者/读者索取更多资源

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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