Presentation 2004/11/28
Characteristic Ligand Substructures to Dopamine Receptors(Medical Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
Takashi Okada, Masumi Yamakawa,
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Abstract(in English) The structure activity relationship studies of ligands to dopamine receptor proteins have been set to one of the main target in the active mining project. Authors started to solve this problem using the cascade model and linear fragments extracted from structural formulae. The original method of analysis was found to be not sufficient to capture the characteristic substructures, and a variety of improvements are incorporated into rule derivation process and into fragment expressions. This paper reports the final results obtained in D1 agonist analysis using the current methodology. The obtained results are evaluated to provide rational hypotheses of active sites and binding sites from a viewpoint of pharmaceutical research.
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Paper # AI2004-40
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Committee AI
Conference Date 2004/11/28(1days)
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Language ENG
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Title (in English) Characteristic Ligand Substructures to Dopamine Receptors(Medical Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
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1st Author's Name Takashi Okada
1st Author's Affiliation Department of Informatics, Kwansei Gakuin University()
2nd Author's Name Masumi Yamakawa
2nd Author's Affiliation Department of Informatics, Kwansei Gakuin University
Date 2004/11/28
Paper # AI2004-40
Volume (vol) vol.104
Number (no) 486
Page pp.pp.-
#Pages 6
Date of Issue