• DocumentCode
    3060671
  • Title

    De Novo Peptide Sequencing Based on Vertex Contraction Algorithm

  • Author

    Wei, Zhexue ; Zhu, Daming

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    De novo peptide sequencing is an important method for peptide sequencing and protein identification. It can be transformed into a special case of paths avoiding forbidden pairs problem (PAFP). General PAFP is NP-complete. The definition of PAFP is the following: Given a directed acyclic graph G = (V, E), two distinguished vertices source s, sink t ∈ V , a set of forbidden pairs F ⊂ V × V, and an edge weight function w : E -+ R, asking for a maximum weight path from s to t passing at most one vertex from each forbidden pair. In the process of transformation from de novo peptide sequencing to PAFP, forbidden pairs have nested structure. We give a vertex contraction algorithm which is designed based on nested structure of forbidden pairs to solve paths avoiding forbidden pairs problem. The time complexity of vertex contraction algorithm is O(|V|3).
  • Keywords
    biology computing; computational complexity; directed graphs; proteins; NP-complete problem; PAFP; de novo peptide sequencing; directed acyclic graph; edge weight function; forbidden pair nested structure; paths avoiding forbidden pairs; protein identification; time complexity; vertex contraction algorithm; Algorithm design and analysis; Amino acids; Complexity theory; Dynamic programming; Educational institutions; Greedy algorithms; Peptides; de novo peptide sequencing; forbidden pairs; nested structure; vertex contraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.19
  • Filename
    6274676