Bern Marshall, Goldberg David
Palo Alto Research Center, Palo Alto, California, USA.
J Comput Biol. 2008 Sep;15(7):705-19. doi: 10.1089/cmb.2007.0119.
There are a number of computational tools for assigning identifications to peptide tandem mass spectra, but only a few tools, most notably ProteinProphet, for the crucial next step of integrating peptide identifications into higher-level identifications, such as proteins or modification sites. Here we describe a new program called ComByne for scoring and ranking higher-level identifications. Unlike other identification integration tools, ComByne corrects for protein lengths; it also makes use of more information, such as retention times and spectrum-to-spectrum corroborations. We compare ComByne to existing algorithms on several complex biological samples, including a sample of mouse blood plasma spiked with known concentrations of human proteins. On our samples, the combination of ComByne with our database search tool ByOnic is more sensitive than the combinations of Mascot with ProteinProphet and SEQUEST with DTASelect, with over 40% more proteins identified at 1% false discovery rate. A Web interface to our software is at http://bio.parc.xerox.com.
有许多用于为肽串联质谱指定鉴定结果的计算工具,但对于将肽鉴定结果整合到更高层次的鉴定(如蛋白质或修饰位点)这一关键的下一步骤,只有少数工具,最著名的是ProteinProphet。在此,我们描述了一个名为ComByne的新程序,用于对更高层次的鉴定结果进行评分和排序。与其他鉴定整合工具不同,ComByne会校正蛋白质长度;它还利用了更多信息,如保留时间和谱图间的确证。我们在几个复杂的生物样本上,包括添加了已知浓度人类蛋白质的小鼠血浆样本,将ComByne与现有算法进行了比较。在我们的样本上,ComByne与我们的数据库搜索工具ByOnic的组合比Mascot与ProteinProphet以及SEQUEST与DTASelect的组合更灵敏,在1%错误发现率下鉴定出的蛋白质多40%以上。我们软件的网络界面位于http://bio.parc.xerox.com 。