SLoMo: Automated Site Localization of Modifications from ETD/ECD Mass Spectra
SLoMo: Automated Site Localization of Modifications from ETD/ECD Mass Spectra
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DOI：
10.1021/pr800917p
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发表时间：
2009-04-01
影响因子：
4.4
通讯作者：
Cooper, Helen J.
中科院分区：
文献类型：
--
作者：
Bailey, Christopher M.;Sweet, Steve M. M.;Cooper, Helen J.
最近，软件已成为可用于从CID数据中自动定位磷酸化位点，并分配相关的置信分数。我们提出了一种算法，SLoMo（修改的网站定位），它扩展了ETD/ECD质谱的这种能力。此外，SLoMo迎合了高分辨率和低分辨率数据，并允许任何UniMod翻译后修饰的位点定位。SLoMo接受来自各种格式的输入数据（例如，Sequest，OMSSA）。我们使用高分辨率和低分辨率ETD、ECD和CID数据验证SLoMo。
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.