Presentation 2005-01-24
Structure Data Mining of Drugs Using Non-terminal Vertex Graph
Hiroto AOKI, Takao OHNO, Yoshimasa TAKAHASHI,
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Abstract(in English) 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.
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Keyword(in English) Molecular Graph / Graph Mining / NTG / Molecular Design / Structure Similarity
Paper # KBSE2004-31
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Committee KBSE
Conference Date 2005/1/17(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Structure Data Mining of Drugs Using Non-terminal Vertex Graph
Sub Title (in English)
Keyword(1) Molecular Graph
Keyword(2) Graph Mining
Keyword(3) NTG
Keyword(4) Molecular Design
Keyword(5) Structure Similarity
1st Author's Name Hiroto AOKI
1st Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology()
2nd Author's Name Takao OHNO
2nd Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology
3rd Author's Name Yoshimasa TAKAHASHI
3rd Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology
Date 2005-01-24
Paper # KBSE2004-31
Volume (vol) vol.104
Number (no) 587
Page pp.pp.-
#Pages 5
Date of Issue