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
Link To Document :
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