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Title: Peptide identification

Abstract

Peptides are identified from a list of candidates using collision-induced dissociation tandem mass spectrometry data. A probabilistic model for the occurrence of spectral peaks corresponding to frequently observed partial peptide fragment ions is applied. As part of the identification procedure, a probability score is produced that indicates the likelihood of any given candidate being the correct match. The statistical significance of the score is known without necessarily having reference to the actual identity of the peptide. In one form of the invention, a genetic algorithm is applied to candidate peptides using an objective function that takes into account the number of shifted peaks appearing in the candidate spectrum relative to the test spectrum.

Inventors:
 [1];  [1];  [1];  [1]
  1. Richland, WA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1019425
Patent Number(s):
7,979,214
Application Number:
US Patent Application 11/592,610
Assignee:
Battelle Memorial Institute (Richland, WA) RLO
DOE Contract Number:  
AC06-76RL01830
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Jarman, Kristin H, Cannon, William R, Jarman, Kenneth D, and Heredia-Langner, Alejandro. Peptide identification. United States: N. p., 2011. Web.
Jarman, Kristin H, Cannon, William R, Jarman, Kenneth D, & Heredia-Langner, Alejandro. Peptide identification. United States.
Jarman, Kristin H, Cannon, William R, Jarman, Kenneth D, and Heredia-Langner, Alejandro. Tue . "Peptide identification". United States. https://www.osti.gov/servlets/purl/1019425.
@article{osti_1019425,
title = {Peptide identification},
author = {Jarman, Kristin H and Cannon, William R and Jarman, Kenneth D and Heredia-Langner, Alejandro},
abstractNote = {Peptides are identified from a list of candidates using collision-induced dissociation tandem mass spectrometry data. A probabilistic model for the occurrence of spectral peaks corresponding to frequently observed partial peptide fragment ions is applied. As part of the identification procedure, a probability score is produced that indicates the likelihood of any given candidate being the correct match. The statistical significance of the score is known without necessarily having reference to the actual identity of the peptide. In one form of the invention, a genetic algorithm is applied to candidate peptides using an objective function that takes into account the number of shifted peaks appearing in the candidate spectrum relative to the test spectrum.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {7}
}

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