• DocumentCode
    3232962
  • Title

    An algorithm for extracting subgraph of specific species from metabolic pathway

  • Author

    Zhao, Jian-Bang ; Lin, Gao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    74
  • Lastpage
    79
  • Abstract
    A large number of metabolic pathway databases are currently available, such as KEGG, EcoCys, and BioPath. For a better use of the KEGG databases, studying the KEGG data structure and rebuilding it into a convenient form become crucial tasks to our research, such as functional modularity detection, conserved pathway analysis, phylogenetic analysis. This paper presents an algorithm for extracting the metabolic pathways from KEGG database to the form of enzyme-enzyme interactions (EEI) and compound-compound ones. Using the algorithm EMP (Extract Metabolic Pathway), we can transform a specific species metabolic pathway in KEGG into a subgraph which consists of EEI edges. Additionally, we provide a tool named ExtKEGG to extract compound-based metabolic pathways. Furthermore, the experimental results show that our algorithm causes no information loss.
  • Keywords
    biology computing; database management systems; genetic engineering; BioPath; EcoCys; ExtKEGG; compound-based metabolic pathways; compound-compound interactions; conserved pathway analysis; enzyme-enzyme interactions; extract metabolic pathway; functional modularity detection; phylogenetic analysis; species subgraph extraction; Humans; EMP; ExtKEGG; extract subgraph; metabolic pathway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645350
  • Filename
    5645350