Cargando…

PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns

Proteome science relies on bioinformatics tools to characterize proteins via their proteolytic peptides which are identified via characteristic mass spectra generated after their ions undergo fragmentation in the gas phase within the mass spectrometer. The resulting secondary ion mass spectra are co...

Descripción completa

Detalles Bibliográficos
Autores principales: McLaughlin, Thomas, Siepen, Jennifer A., Selley, Julian, Lynch, Jennifer A., Lau, King Wai, Yin, Hujun, Gaskell, Simon J., Hubbard, Simon J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347429/
https://www.ncbi.nlm.nih.gov/pubmed/16381951
http://dx.doi.org/10.1093/nar/gkj066
_version_ 1782126616125636608
author McLaughlin, Thomas
Siepen, Jennifer A.
Selley, Julian
Lynch, Jennifer A.
Lau, King Wai
Yin, Hujun
Gaskell, Simon J.
Hubbard, Simon J.
author_facet McLaughlin, Thomas
Siepen, Jennifer A.
Selley, Julian
Lynch, Jennifer A.
Lau, King Wai
Yin, Hujun
Gaskell, Simon J.
Hubbard, Simon J.
author_sort McLaughlin, Thomas
collection PubMed
description Proteome science relies on bioinformatics tools to characterize proteins via their proteolytic peptides which are identified via characteristic mass spectra generated after their ions undergo fragmentation in the gas phase within the mass spectrometer. The resulting secondary ion mass spectra are compared with protein sequence databases in order to identify the amino acid sequence. Although these search tools (e.g. SEQUEST, Mascot, X!Tandem, Phenyx) are frequently successful, much is still not understood about the amino acid sequence patterns which promote/protect particular fragmentation pathways, and hence lead to the presence/absence of particular ions from different ion series. In order to advance this area, we have developed a database, PepSeeker (), which captures this peptide identification and ion information from proteome experiments. The database currently contains >185 000 peptides and associated database search information. Users may query this resource to retrieve peptide, protein and spectral information based on protein or peptide information, including the amino acid sequence itself represented by regular expressions coupled with ion series information. We believe this database will be useful to proteome researchers wishing to understand gas phase peptide ion chemistry in order to improve peptide identification strategies. Questions can be addressed to j.selley@manchester.ac.uk.
format Text
id pubmed-1347429
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-13474292006-01-25 PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns McLaughlin, Thomas Siepen, Jennifer A. Selley, Julian Lynch, Jennifer A. Lau, King Wai Yin, Hujun Gaskell, Simon J. Hubbard, Simon J. Nucleic Acids Res Article Proteome science relies on bioinformatics tools to characterize proteins via their proteolytic peptides which are identified via characteristic mass spectra generated after their ions undergo fragmentation in the gas phase within the mass spectrometer. The resulting secondary ion mass spectra are compared with protein sequence databases in order to identify the amino acid sequence. Although these search tools (e.g. SEQUEST, Mascot, X!Tandem, Phenyx) are frequently successful, much is still not understood about the amino acid sequence patterns which promote/protect particular fragmentation pathways, and hence lead to the presence/absence of particular ions from different ion series. In order to advance this area, we have developed a database, PepSeeker (), which captures this peptide identification and ion information from proteome experiments. The database currently contains >185 000 peptides and associated database search information. Users may query this resource to retrieve peptide, protein and spectral information based on protein or peptide information, including the amino acid sequence itself represented by regular expressions coupled with ion series information. We believe this database will be useful to proteome researchers wishing to understand gas phase peptide ion chemistry in order to improve peptide identification strategies. Questions can be addressed to j.selley@manchester.ac.uk. Oxford University Press 2006-01-01 2005-12-28 /pmc/articles/PMC1347429/ /pubmed/16381951 http://dx.doi.org/10.1093/nar/gkj066 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
McLaughlin, Thomas
Siepen, Jennifer A.
Selley, Julian
Lynch, Jennifer A.
Lau, King Wai
Yin, Hujun
Gaskell, Simon J.
Hubbard, Simon J.
PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title_full PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title_fullStr PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title_full_unstemmed PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title_short PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns
title_sort pepseeker: a database of proteome peptide identifications for investigating fragmentation patterns
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347429/
https://www.ncbi.nlm.nih.gov/pubmed/16381951
http://dx.doi.org/10.1093/nar/gkj066
work_keys_str_mv AT mclaughlinthomas pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT siepenjennifera pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT selleyjulian pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT lynchjennifera pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT laukingwai pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT yinhujun pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT gaskellsimonj pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns
AT hubbardsimonj pepseekeradatabaseofproteomepeptideidentificationsforinvestigatingfragmentationpatterns