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SLoMo: automated site localization of modifications from ETD/ECD mass spectra

Bailey, Christopher M and Sweet, Steve M M and Cunningham, Debbie L and Zeller, Martin and Heath, John K and Cooper, Helen J. (2009) SLoMo: automated site localization of modifications from ETD/ECD mass spectra. Journal of proteome research, 8 (4). pp. 1965-71. ISSN 1535-3893

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Identification Number/DOI: 10.1021/pr800917p

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.

Type of Work:Article
Date:2009 (Publication)
School/Faculty:Colleges (2008 onwards) > College of Life & Environmental Sciences
Department:School of Biosciences
Subjects:Q Science (General)
Institution:University of Birmingham
Copyright Holders:Biomed Central
ID Code:227
Refereed:YES
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