TUCS - Turku Centre for Computer Science, FI-20500 Turku, Finland.
Bioinformatics Unit, Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Tykistökatu 6, FI-20520 Turku, Finland.
Bioinformatics. 2018 Aug 1;34(15):2690-2692. doi: 10.1093/bioinformatics/bty151.
Mass spectrometry combined with enrichment strategies for phosphorylated peptides has been successfully employed for two decades to identify sites of phosphorylation. However, unambiguous phosphosite assignment is considered challenging. Given that site-specific phosphorylation events function as different molecular switches, validation of phosphorylation sites is of utmost importance. In our earlier study we developed a method based on simulated phosphopeptide spectral libraries, which enables highly sensitive and accurate phosphosite assignments. To promote more widespread use of this method, we here introduce a software implementation with improved usability and performance.
We present SimPhospho, a fast and user-friendly tool for accurate simulation of phosphopeptide tandem mass spectra. Simulated phosphopeptide spectral libraries are used to validate and supplement database search results, with a goal to improve reliable phosphoproteome identification and reporting. The presented program can be easily used together with the Trans-Proteomic Pipeline and integrated in a phosphoproteomics data analysis workflow.
SimPhospho is open source and it is available for Windows, Linux and Mac operating systems. The software and its user's manual with detailed description of data analysis as well as test data can be found at https://sourceforge.net/projects/simphospho/.
Supplementary data are available at Bioinformatics online.
质谱法结合磷酸肽富集策略已成功应用于 20 年,用于鉴定磷酸化位点。然而,明确的磷酸化位点赋值被认为具有挑战性。鉴于特定部位的磷酸化事件作为不同的分子开关起作用,磷酸化位点的验证至关重要。在我们早期的研究中,我们开发了一种基于模拟磷酸肽谱库的方法,该方法能够实现高度敏感和准确的磷酸化位点赋值。为了促进这种方法的更广泛应用,我们在此引入了一个具有改进的可用性和性能的软件实现。
我们提出了 SimPhospho,这是一种用于准确模拟磷酸肽串联质谱的快速且用户友好的工具。模拟磷酸肽谱库用于验证和补充数据库搜索结果,目的是改善可靠的磷酸蛋白质组鉴定和报告。该程序可以与 Trans-Proteomic Pipeline 轻松结合,并集成到磷酸蛋白质组数据分析工作流程中。
SimPhospho 是开源的,可用于 Windows、Linux 和 Mac 操作系统。软件及其用户手册(包括详细的数据分析说明和测试数据)可在 https://sourceforge.net/projects/simphospho/ 找到。
补充数据可在 Bioinformatics 在线获得。