Title :
An Ion Transformation Approach for De Novo Peptide Sequencing via Tandem Mass Spectra
Author :
Yu, Changyong ; Wang, Guoren ; Zhao, Yi ; Zhai, Wendan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
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.
Keywords :
graph theory; mass spectra; molecular biophysics; proteins; de novo peptide sequencing; graph theory; ion transformation approach; tandem mass spectra; Amino acids; Biomedical engineering; Biomedical informatics; Databases; Ionization; Mass spectroscopy; Peptides; Proteins; Sequences; Spine; Tandem mass spectrum; de novo peptide sequencing;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.81