Presentation 2003/3/8
Data Mining Based on 3D Structural Similarity of Drug Molecules
Hiroaki KATO, Yoshimasa TAKAHASHI, Hidetsugu ABE,
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Abstract(in English) It is well known the structure of an organic molecule has rich information related to various physicochemical properties and biological activities of it. In the preceding works, we have developed a computer program, named COMPASS (COMmon geometric PAttern Search System), for automated identification of 3D common structural features among molecular structures by a graph theoretical approach. In the present work, we have applied it to the task of similar 3D structure searching on a given data set. Here, a query molecule and every molecule in the data set are compared using COMPASS. A similarity criterion for a pair of structures is defined as the size, i.e. the number of coincident atoms (or atomic groups), between them. The search experiment was made with a dopamine D2 antagonist molecule as a query and a test data set extracted from MDDR-3D. The result strongly suggested that the present approach can be applicable to evaluate 3D structural similarity of drug molecules.
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Keyword(in English) Structural Similarity / COMPASS / Chemical Graph / 3D Structural Feature / Data Mining
Paper # AI2002-88
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Committee AI
Conference Date 2003/3/8(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data Mining Based on 3D Structural Similarity of Drug Molecules
Sub Title (in English)
Keyword(1) Structural Similarity
Keyword(2) COMPASS
Keyword(3) Chemical Graph
Keyword(4) 3D Structural Feature
Keyword(5) Data Mining
1st Author's Name Hiroaki KATO
1st Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology()
2nd Author's Name Yoshimasa TAKAHASHI
2nd Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology
3rd Author's Name Hidetsugu ABE
3rd Author's Affiliation Department of Knowledge-based Information Engineering, Toyohashi University of Technology
Date 2003/3/8
Paper # AI2002-88
Volume (vol) vol.102
Number (no) 711
Page pp.pp.-
#Pages 4
Date of Issue