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PMID: 16013882 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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

Analytical chemistry ·Vol. 77 ·No. 14 ·2005-07-15 ·Pages 4626-39

Tanner S, Shu H, Frank A, Wang LC, Zandi E, Mumby M, Pevzner PA, Bafna V

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.

MeSH Terms
Databases, Factual I-kappa B Kinase/chemistry Keratins/chemistry Peptide Hydrolases/chemistry Peptides/chemistry,genetics,metabolism Protein Processing, Post-Translational/physiology Sensitivity and Specificity Software Tandem Mass Spectrometry/methods
Chemicals
Peptides Keratins I-kappa B Kinase Peptide Hydrolases
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Tanner Stephen
Department of Bioengineering and Computer Science Department, APM 3832, University of California-San Diego, 9500 Gilman Drive, La Jolla, California 92093-0114, USA. stanner@ucsd.edu
Shu Hongjun
Frank Ari
Wang Ling-Chi
Zandi Ebrahim
Mumby Marc
Pevzner Pavel A
Bafna Vineet
Article Info
Journal
Analytical chemistry
Abbr.
Anal Chem
ISSN
0003-2700
Published
2005-07-15
Pages
4626-39
Language
English
Region
United States
NLM ID
0370536
Subset
IM
Grants
NCRR NIH HHS · 1-R01-RR16522 · United States
NIGMS NIH HHS · R01GM65325 · United States
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