Modification site localization scoring integrated into a search engine
- PMID: 21490164
- PMCID: PMC3134073
- DOI: 10.1074/mcp.M111.008078
Modification site localization scoring integrated into a search engine
Abstract
Large proteomic data sets identifying hundreds or thousands of modified peptides are becoming increasingly common in the literature. Several methods for assessing the reliability of peptide identifications both at the individual peptide or data set level have become established. However, tools for measuring the confidence of modification site assignments are sparse and are not often employed. A few tools for estimating phosphorylation site assignment reliabilities have been developed, but these are not integral to a search engine, so require a particular search engine output for a second step of processing. They may also require use of a particular fragmentation method and are mostly only applicable for phosphorylation analysis, rather than post-translational modifications analysis in general. In this study, we present the performance of site assignment scoring that is directly integrated into the search engine Protein Prospector, which allows site assignment reliability to be automatically reported for all modifications present in an identified peptide. It clearly indicates when a site assignment is ambiguous (and if so, between which residues), and reports an assignment score that can be translated into a reliability measure for individual site assignments.
Figures




Similar articles
-
D-score: a search engine independent MD-score.Proteomics. 2013 Mar;13(6):1036-41. doi: 10.1002/pmic.201200408. Epub 2013 Feb 15. Proteomics. 2013. PMID: 23307401
-
Hydra: a scalable proteomic search engine which utilizes the Hadoop distributed computing framework.BMC Bioinformatics. 2012 Dec 5;13:324. doi: 10.1186/1471-2105-13-324. BMC Bioinformatics. 2012. PMID: 23216909 Free PMC article.
-
Andromeda: a peptide search engine integrated into the MaxQuant environment.J Proteome Res. 2011 Apr 1;10(4):1794-805. doi: 10.1021/pr101065j. Epub 2011 Feb 22. J Proteome Res. 2011. PMID: 21254760
-
Modification site localization scoring: strategies and performance.Mol Cell Proteomics. 2012 May;11(5):3-14. doi: 10.1074/mcp.R111.015305. Epub 2012 Feb 11. Mol Cell Proteomics. 2012. PMID: 22328712 Free PMC article. Review.
-
Modification Site Localization in Peptides.Adv Exp Med Biol. 2016;919:243-247. doi: 10.1007/978-3-319-41448-5_13. Adv Exp Med Biol. 2016. PMID: 27975222 Review.
Cited by
-
Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification.Mol Cell Proteomics. 2024 Feb;23(2):100707. doi: 10.1016/j.mcpro.2023.100707. Epub 2023 Dec 26. Mol Cell Proteomics. 2024. PMID: 38154692 Free PMC article.
-
O-glycosylation sites identified from mucin core-1 type glycopeptides from human serum.Glycoconj J. 2016 Jun;33(3):435-45. doi: 10.1007/s10719-015-9630-6. Epub 2016 Jan 5. Glycoconj J. 2016. PMID: 26729242 Free PMC article.
-
O-GlcNAc modifications regulate lamin A tail processing.bioRxiv [Preprint]. 2025 Mar 13:2025.03.11.642699. doi: 10.1101/2025.03.11.642699. bioRxiv. 2025. PMID: 40161616 Free PMC article. Preprint.
-
CD4-induced activation in a soluble HIV-1 Env trimer.Structure. 2014 Jul 8;22(7):974-84. doi: 10.1016/j.str.2014.05.001. Epub 2014 Jun 12. Structure. 2014. PMID: 24931470 Free PMC article.
-
Characterization of an A3G-VifHIV-1-CRL5-CBFβ Structure Using a Cross-linking Mass Spectrometry Pipeline for Integrative Modeling of Host-Pathogen Complexes.Mol Cell Proteomics. 2021;20:100132. doi: 10.1016/j.mcpro.2021.100132. Epub 2021 Aug 11. Mol Cell Proteomics. 2021. PMID: 34389466 Free PMC article.
References
-
- Witze E. S., Old W. M., Resing K. A., Ahn N. G. (2007) Mapping protein post-translational modifications with mass spectrometry. Nat. Methods 4, 798–806 - PubMed
-
- Nilsson T., Mann M., Aebersold R., Yates J. R., 3rd, Bairoch A., Bergeron J. J. (2010) Mass spectrometry in high-throughput proteomics: ready for the big time. Nat. Methods 7, 681–685 - PubMed
-
- Nesvizhskii A. I., Vitek O., Aebersold R. (2007) Analysis and validation of proteomic data generated by tandem mass spectrometry. Nat. Methods 4, 787–797 - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources