• DocumentCode
    2341079
  • Title

    Chemical Molecules Search Based on Graph Similarity Measure

  • Author

    Du, Hui

  • Author_Institution
    Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposed a new algorithm of Chemical Molecules search based on graph similarity measure. The similarity score between graphs is defined based on the weights of sets of connected subgraphs. It uses the feature-graph matrix to construct index structure. Experimental result shows that the proposed Chemical Molecules search algorithm is effective.
  • Keywords
    biocomputing; graph theory; search problems; chemical molecule search algorithm; feature-graph matrix; graph similarity measure; index structure; Bayesian methods; Bioinformatics; Chemical compounds; Chemistry; Computational biology; Database systems; Electronic mail; Fingerprint recognition; Proteins; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5315-3
  • Type

    conf

  • DOI
    10.1109/ICBECS.2010.5462473
  • Filename
    5462473
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2341079