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Universal database search tool for proteomics
Mass spectrometry (MS) instruments and experimental protocols are rapidly advancing, but the software tools to analyze tandem mass spectra are lagging behind. We present a database search tool MS-GF+ that is sensitive (it identifies more peptides than most other database search tools) and universal...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036525/ https://www.ncbi.nlm.nih.gov/pubmed/25358478 http://dx.doi.org/10.1038/ncomms6277 |
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author | Kim, Sangtae Pevzner, Pavel A. |
author_facet | Kim, Sangtae Pevzner, Pavel A. |
author_sort | Kim, Sangtae |
collection | PubMed |
description | Mass spectrometry (MS) instruments and experimental protocols are rapidly advancing, but the software tools to analyze tandem mass spectra are lagging behind. We present a database search tool MS-GF+ that is sensitive (it identifies more peptides than most other database search tools) and universal (it works well for diverse types of spectra, different configurations of MS instruments and different experimental protocols). We benchmark MS-GF+ using diverse spectral datasets: (i) spectra of varying fragmentation methods; (ii) spectra of multiple enzyme digests; (iii) spectra of phosphorylated peptides; (iv) spectra of peptides with unusual fragmentation propensities produced by a novel alpha-lytic protease. For all these datasets, MS-GF+ significantly increases the number of identified peptides compared to commonly used methods for peptide identifications. We emphasize that while MS-GF+ is not specifically designed for any particular experimental set-up, it improves upon the performance of tools specifically designed for these applications (e.g., specialized tools for phosphoproteomics). |
format | Online Article Text |
id | pubmed-5036525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50365252016-09-26 Universal database search tool for proteomics Kim, Sangtae Pevzner, Pavel A. Nat Commun Article Mass spectrometry (MS) instruments and experimental protocols are rapidly advancing, but the software tools to analyze tandem mass spectra are lagging behind. We present a database search tool MS-GF+ that is sensitive (it identifies more peptides than most other database search tools) and universal (it works well for diverse types of spectra, different configurations of MS instruments and different experimental protocols). We benchmark MS-GF+ using diverse spectral datasets: (i) spectra of varying fragmentation methods; (ii) spectra of multiple enzyme digests; (iii) spectra of phosphorylated peptides; (iv) spectra of peptides with unusual fragmentation propensities produced by a novel alpha-lytic protease. For all these datasets, MS-GF+ significantly increases the number of identified peptides compared to commonly used methods for peptide identifications. We emphasize that while MS-GF+ is not specifically designed for any particular experimental set-up, it improves upon the performance of tools specifically designed for these applications (e.g., specialized tools for phosphoproteomics). 2014-10-31 /pmc/articles/PMC5036525/ /pubmed/25358478 http://dx.doi.org/10.1038/ncomms6277 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Kim, Sangtae Pevzner, Pavel A. Universal database search tool for proteomics |
title | Universal database search tool for proteomics |
title_full | Universal database search tool for proteomics |
title_fullStr | Universal database search tool for proteomics |
title_full_unstemmed | Universal database search tool for proteomics |
title_short | Universal database search tool for proteomics |
title_sort | universal database search tool for proteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036525/ https://www.ncbi.nlm.nih.gov/pubmed/25358478 http://dx.doi.org/10.1038/ncomms6277 |
work_keys_str_mv | AT kimsangtae universaldatabasesearchtoolforproteomics AT pevznerpavela universaldatabasesearchtoolforproteomics |