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SimPhospho: a tool to enhance phosphopeptide analysis

Analytical chemists, including Garry Corthals from the University of Amsterdam’s Van ’t Hoff for Molecular Sciences (the Netherlands) and Veronika Suni of the University of Turku’s Center for Biotechnology (Finland), have introduced SimPhospho, an open source tool for accurate simulation of phosphopeptide tandem mass spectra.

The biochemical process of protein phosphorylation plays a vital role in the regulation of many cellular processes including cell cycle, growth, apoptosis and signal transduction pathways. Given that the exact molecular site of a phosphorylation event determines its particular switching activity, validation of phosphorylation sites is of great importance. The leading technology to discover and confirm protein phosphorylation is tandem mass spectrometry. It has been successfully employed for two decades to identify sites of phosphorylation. However, unambiguous phosphosite assignment still is considered challenging. A further improvement of sophisticated phosphopeptide data analysis strongly depends on the ability to interpret more complex tandem mass spectrometry spectra.

In an earlier study, the Dutch–Finnish team developed a method for tandem mass spectrometry interpretation based on the simulation of phosphopeptide spectral libraries, enabling highly sensitive and accurate phosphosite assignments. To promote more widespread use of this method, they now introduce SimPhospho, a fast and user-friendly tool for accurate simulation of phosphopeptide tandem mass spectra. With SimPhospho, simulated phosphopeptide spectral libraries are used to validate and supplement database search results. It thus can improve reliable phosphoproteome identification and reporting. The program can be easily used together with the Trans-Proteomic Pipeline and can be 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 manual with detailed description of data analysis as well as test data can be downloaded. A description of SimPhospho has been published in Bioinformatics.

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