InsPecT: identification of posttranslationally modified peptides from tandem mass spectra.

TitleInsPecT: identification of posttranslationally modified peptides from tandem mass spectra.
Publication TypeJournal Article
Year of Publication2005
AuthorsTanner S, Shu H, Frank A, Wang L-C, Zandi E, Mumby M, Pevzner PA, Bafna V
JournalAnal Chem
Volume77
Issue14
Pagination4626-39
Date Published2005 Jul 15
ISSN0003-2700
KeywordsDatabases, Factual, I-kappa B Kinase, Keratins, Peptide Hydrolases, Peptides, Protein Processing, Post-Translational, Sensitivity and Specificity, Software, Tandem Mass Spectrometry
Abstract

Reliable identification of posttranslational modifications is key to understanding various cellular regulatory processes. We describe a tool, InsPecT, to identify posttranslational modifications using tandem mass spectrometry data. InsPecT constructs database filters that proved to be very successful in genomics searches. Given an MS/MS spectrum S and a database D, a database filter selects a small fraction of database D that is guaranteed (with high probability) to contain a peptide that produced S. InsPecT uses peptide sequence tags as efficient filters that reduce the size of the database by a few orders of magnitude while retaining the correct peptide with very high probability. In addition to filtering, InsPecT also uses novel algorithms for scoring and validating in the presence of modifications, without explicit enumeration of all variants. InsPecT identifies modified peptides with better or equivalent accuracy than other database search tools while being 2 orders of magnitude faster than SEQUEST, and substantially faster than X!TANDEM on complex mixtures. The tool was used to identify a number of novel modifications in different data sets, including many phosphopeptides in data provided by Alliance for Cellular Signaling that were missed by other tools.

DOI10.1021/ac050102d
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/16013882?dopt=Abstract
Alternate TitleAnal. Chem.
PubMed ID16013882