Repository: Freie Universit├Ąt Berlin, Math Department

An iterative strategy for precursor ion selection for LC-MS/MS based shotgun proteomics

Zerck, A. and Nordhoff, E. and Reseman, A. and Mirgorodskaya, E. and Suckau, D. and Reinert, K. and Lehrach, H. and Gobom, J. (2009) An iterative strategy for precursor ion selection for LC-MS/MS based shotgun proteomics. Journal of Proteome Research .

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Official URL: http://pubs.acs.org/doi/abs/10.1021/pr800835x

Abstract

Currently, the precursor ion selection strategies in LC-MS mainly choose the most prominent peptide signals for MS/MS analysis. Consequently, high abundant proteins are identified by MS/MS of many peptides whereas proteins of lower abundance might elude identification. We present a novel, iterative and result-driven approach for precursor ion selection that significantly increases the efficiency of an MS/MS analysis by decreasing data redundancy and analysis time. By simulating different strategies for precursor ion selection on an existing dataset we compare our method to existing result-driven strategies and evaluate its performance with regard to mass accuracy, database size, and sample complexity.

Item Type:Article
Subjects:Biological Sciences > Molecular Biology > Molecular Biology
Biological Sciences > Molecular Biology > Metabolic Biochemistry
Mathematical and Computer Sciences > Computer Science > Computing Science not elsewhere classified
Divisions:Department of Mathematics and Computer Science > Institute of Computer Science > Algorithmic Bioinformatics Group
ID Code:456
Deposited By: Prof. Dr. Knut Reinert
Deposited On:02 Jun 2009 23:02
Last Modified:01 Sep 2010 13:27

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