• DocumentCode
    1784775
  • Title

    NovoPair: De novo peptide sequencing for tandem mass spectra pair

  • Author

    Yan Yan ; Kusalik, Anthony J. ; Fang-xiang Wu

  • Author_Institution
    Div. of Biomed. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    With tandem mass spectrometry (MS/MS), spectra can be generated by various methods including collision-induced dissociation (CID), higher-energy collisional dissociation (HCD), electron capture dissociation (ECD) and electron transfer dissociation (ETD). At the same time, de novo sequencing using multiple spectra from the same peptide is becoming popular in proteomics studies. The focus of this work is using a pair of spectra from CID (or HCD) and ECD (or ETD) fragmentation because of the complementarity between them. We present a new de novo sequencing method for such paired spectra named NovoPair, and compare its performance to another successful method named pNovo+. NovoPair extends our previously proposed graph model to suit paired spectra, and considers different ion types in the two spectra to extract more information. The results show that NovoPair outperforms pNovo+ in terms of full length peptide sequencing accuracy on three pairs of experimental datasets, with the accuracy increasing up to 13.6% compared to pNovo+.
  • Keywords
    dissociation; graph theory; mass spectra; mass spectroscopy; proteins; proteomics; NovoPair; collision-induced dissociation; de novo peptide sequencing; electron capture dissociation; electron transfer dissociation; graph model; higher-energy collisional dissociation; mass spectra; mass spectrometry; proteomics study; Accuracy; Amino acids; Databases; Ions; Peptides; Proteins; Sequential analysis; MS/MS de novo peptide sequencing; amino acid combination; graph with multiple edge types; paired spectra; peptide tags;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999144
  • Filename
    6999144