Presentation 2003/3/8
Mining Characteristics of Dopamine Antagonists
Takashi OKADA, Masumi YAMAKAWA,
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Abstract(in English) A research project started to clarify structural characteristics of pharmaceutical compounds for a variety of medicinal activities. A workbench has been developed to support the mining process efficiently. It includes the preparation of attributes, mining by the cascade model, and the interpretation of derived rules. As the first subject, we studied drugs with antagonist acitivities for four dopamine receptor proteins (Dl-D4) and discovered various lead structures. The results have shown the usefulness of mining by the cascade model and its capability of datascape survey. Pharmacologists evaluated the acquired knowledge, and remarked that the results contained many unknown, but reasonable pieces of knowledge that are applicable to the drug design.
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Keyword(in English) structure activity relationships / mining / dopamine receptor / antagonist / cascade model / datascape
Paper # AI2002-86
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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) Mining Characteristics of Dopamine Antagonists
Sub Title (in English)
Keyword(1) structure activity relationships
Keyword(2) mining
Keyword(3) dopamine receptor
Keyword(4) antagonist
Keyword(5) cascade model
Keyword(6) datascape
1st Author's Name Takashi OKADA
1st Author's Affiliation Center for Information & Media Studies, Kwansei Gakuin University()
2nd Author's Name Masumi YAMAKAWA
2nd Author's Affiliation Center for Information & Media Studies, Kwansei Gakuin University
Date 2003/3/8
Paper # AI2002-86
Volume (vol) vol.102
Number (no) 711
Page pp.pp.-
#Pages 6
Date of Issue