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