An Ion Transformation Approach for De Novo Peptide Sequencing via Tandem Mass Spectra

peer-reviewed · 2008 International Conference on BioMedical Engineering and Informatics · 2008

peer-reviewed · 2008 International Conference on BioMedical Engineering and Informatics · 2008. Changyong Yu et al. De novo peptide sequencing is especially useful in the identification of unknown proteins. A class of…
Date 2008-05-01
Type peer-reviewed
Venue 2008 International Conference on BioMedical Engineering and Informatics
Publisher IEEE
Contribution algorithm
DOI 10.1109/bmei.2008.81
Citations (OpenAlex) 1

Abstract

De novo peptide sequencing is especially useful in the identification of unknown proteins. A class of efficient models on de novo peptide interpretation have been proposed recently based on graph theory. However, majority of the graph-based models convert each peak to multiple nodes in the graph due to unknown ion types. This directly results in the decrease of the efficiency and accuracy of peptide sequencing algorithms. To solve these problems, in this paper an ion transformation method is proposed to convert all the other type of ions to b-ions before the construction of spectrum graph in the peptide sequencing. Experiments on both the real QTof MS/MS data and the synthetic MS/MS data demonstrate that the proposed method reduces the size of the graph and improves the efficiency and accuracy of peptide sequencing algorithms.

Authors

  1. Changyong Yu · Northeastern University
  2. Guoren Wang · Northeastern University
  3. Yi Zhao · Northeastern University
  4. Wendan Zhai · Northeastern University

Methods and tools

Seen in the charts

Back to the full map

Back to top