SimPhospho: a software tool enabling confident phosphosite assignment
- PMID: 29596608
- PMCID: PMC6061695
- DOI: 10.1093/bioinformatics/bty151
SimPhospho: a software tool enabling confident phosphosite assignment
Abstract
Motivation: 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.
Results: 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.
Availability and implementation: 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 information: Supplementary data are available at Bioinformatics online.
Figures

Similar articles
-
Optimization of TripleTOF spectral simulation and library searching for confident localization of phosphorylation sites.PLoS One. 2019 Dec 2;14(12):e0225885. doi: 10.1371/journal.pone.0225885. eCollection 2019. PLoS One. 2019. PMID: 31790495 Free PMC article.
-
Prophossi: automating expert validation of phosphopeptide-spectrum matches from tandem mass spectrometry.Bioinformatics. 2010 Sep 1;26(17):2153-9. doi: 10.1093/bioinformatics/btq341. Epub 2010 Jul 22. Bioinformatics. 2010. PMID: 20651112 Free PMC article.
-
PhoPepMass: A database and search tool assisting human phosphorylation peptide identification from mass spectrometry data.J Genet Genomics. 2018 Jul 20;45(7):381-388. doi: 10.1016/j.jgg.2018.07.005. Epub 2018 Jul 19. J Genet Genomics. 2018. PMID: 30055873
-
Advances in the analysis of protein phosphorylation.J Proteome Res. 2008 May;7(5):1809-18. doi: 10.1021/pr7006544. Epub 2008 Mar 8. J Proteome Res. 2008. PMID: 18327898 Review.
-
Free Open Source Software for Protein and Peptide Mass Spectrometry- based Science.Curr Protein Pept Sci. 2021;22(2):134-147. doi: 10.2174/1389203722666210118160946. Curr Protein Pept Sci. 2021. PMID: 33461461 Review.
Cited by
-
Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry.ACS Meas Sci Au. 2024 Jun 4;4(4):338-417. doi: 10.1021/acsmeasuresciau.3c00068. eCollection 2024 Aug 21. ACS Meas Sci Au. 2024. PMID: 39193565 Free PMC article. Review.
-
A Multipathway Phosphopeptide Standard for Rapid Phosphoproteomics Assay Development.Mol Cell Proteomics. 2023 Oct;22(10):100639. doi: 10.1016/j.mcpro.2023.100639. Epub 2023 Aug 30. Mol Cell Proteomics. 2023. PMID: 37657519 Free PMC article.
-
A multi-purpose, regenerable, proteome-scale, human phosphoserine resource for phosphoproteomics.Nat Methods. 2022 Nov;19(11):1371-1375. doi: 10.1038/s41592-022-01638-5. Epub 2022 Oct 24. Nat Methods. 2022. PMID: 36280721 Free PMC article.
-
Optimization of TripleTOF spectral simulation and library searching for confident localization of phosphorylation sites.PLoS One. 2019 Dec 2;14(12):e0225885. doi: 10.1371/journal.pone.0225885. eCollection 2019. PLoS One. 2019. PMID: 31790495 Free PMC article.
-
Computational approaches to identify sites of phosphorylation.Proteomics. 2024 Apr;24(8):e2300088. doi: 10.1002/pmic.202300088. Epub 2023 Dec 24. Proteomics. 2024. PMID: 37897210 Free PMC article. Review.
References
-
- Beausoleil S.A. et al. (2006) A probability-based approach for high-throughput protein phosphorylation analysis and site localization. Nat. Biotechnol., 24, 1285–1292. - PubMed
-
- Craig R., Beavis R.C. (2004) TANDEM: matching proteins with tandem mass spectra. Bioinformatics, 20, 1466–1467. - PubMed
-
- Eng J.K. et al. (2013) Comet: an open-source MS/MS sequence database search tool. Proteomics, 13, 22–24. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases