Presentation | 2003/3/8 Mining Characteristics of Dopamine Antagonists Takashi OKADA, Masumi YAMAKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | structure activity relationships / mining / dopamine receptor / antagonist / cascade model / datascape |
Paper # | AI2002-86 |
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Conference Information | |
Committee | AI |
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Conference Date | 2003/3/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |