Title
PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns.
Abstract
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 (http://nwsr.smith.man.ac.uk/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.
Year
DOI
Venue
2006
10.1093/nar/gkj066
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
regular expression,database search,internet,protein sequence,proteome,proteomics,mass spectra,mass spectrometry,mass spectrometer,amino acid sequence
Peptide sequence tag,Proteomics,Biology,Protein sequencing,Database search engine,Peptide spectral library,Bottom-up proteomics,Proteome,Database,Peptide sequence
Journal
Volume
Issue
ISSN
34
Database issue
0305-1048
Citations 
PageRank 
References 
5
1.27
1
Authors
8
Name
Order
Citations
PageRank
Thomas McLaughlin1143.50
Jennifer A. Siepen2322.77
Julian N. Selley371.65
Jennifer A. Lynch451.61
King Wai Lau581.71
Hujun Yin638430.13
Simon J Gaskell7252.45
Simon J. Hubbard816918.19