LS2N UMR CNRS 6004, Université de Nantes , F-44300 Nantes, France.
INRA UR1268 Biopolymères Interactions Assemblages, F-44316 Nantes, France.
J Proteome Res. 2017 Aug 4;16(8):3030-3038. doi: 10.1021/acs.jproteome.7b00308. Epub 2017 Jul 11.
The analysis of discovery proteomics experiments relies on algorithms that identify peptides from their tandem mass spectra. The almost exhaustive interpretation of these spectra remains an unresolved issue. At present, an important number of missing interpretations is probably due to peptides displaying post-translational modifications and variants that yield spectra that are particularly difficult to interpret. However, the emergence of a new generation of mass spectrometers that provide high fragment ion accuracy has paved the way for more efficient algorithms. We present a new software, SpecOMS, that can handle the computational complexity of pairwise comparisons of spectra in the context of large volumes. SpecOMS can compare a whole set of experimental spectra generated by a discovery proteomics experiment to a whole set of theoretical spectra deduced from a protein database in a few minutes on a standard workstation. SpecOMS can ingeniously exploit those capabilities to improve the peptide identification process, allowing strong competition between all possible peptides for spectrum interpretation. Remarkably, this software resolves the drawbacks (i.e., efficiency problems and decreased sensitivity) that usually accompany open modification searches. We highlight this promising approach using results obtained from the analysis of a public human data set downloaded from the PRIDE (PRoteomics IDEntification) database.
发现蛋白质组学实验的分析依赖于能够从串联质谱中识别肽的算法。这些光谱的几乎详尽的解释仍然是一个未解决的问题。目前,大量未解释的结果可能是由于显示翻译后修饰和变体的肽,这些肽产生的光谱特别难以解释。然而,新一代提供高碎片离子精度的质谱仪的出现为更有效的算法铺平了道路。我们提出了一种新的软件 SpecOMS,它可以处理在大量数据下对光谱进行成对比较的计算复杂度。SpecOMS 可以在标准工作站上在几分钟内将发现蛋白质组学实验生成的整个实验光谱集与从蛋白质数据库推导出的整个理论光谱集进行比较。SpecOMS 可以巧妙地利用这些功能来改进肽鉴定过程,允许所有可能的肽对光谱解释进行激烈竞争。值得注意的是,该软件解决了通常伴随开放修饰搜索的缺点(即效率问题和灵敏度降低)。我们使用从 PRIDE(PRoteomics IDEntification)数据库下载的公共人类数据集的分析结果突出了这种有前途的方法。