• DocumentCode
    428818
  • Title

    Chemical data mining based on non-terminal vertex graph

  • Author

    Takahashi, Yoshiinasa

  • Author_Institution
    Dept. of Knowledge-based Information Eng., Toyohashi Univ. of Technol., Japan
  • Volume
    5
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    4583
  • Abstract
    We propose a basic skeletal feature representation of molecules with a graph called non-terminal vertex graph (NTG) that has no vertices of degree of 1. A software tool for NTG extraction was developed, and it was applied to structural feature analysis of dopamine antagonists that interact with four different types of receptors. The results suggest that the NTG analysis would be effective as an approach to chemical data mining and knowledge discovery on structure-activity relations of the drugs.
  • Keywords
    biochemistry; biology computing; data mining; graph theory; chemical data mining; dopamine antagonists; nonterminal vertex graph; skeletal feature representation; structural feature analysis; Chemical analysis; Chemical compounds; Chemical technology; Data mining; Data visualization; Dictionaries; Drugs; Knowledge engineering; Spatial databases; Visual databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1401254
  • Filename
    1401254