Development and Application of the Strategy for the Quantitative Prediction of Drug-Induced Parkinsonism.
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Accession number;00A0997683
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| Title;Development and Application of the Strategy for the Quantitative Prediction of Drug-Induced Parkinsonism. |
| Author;
OTANI HISAKAZU
(Kyushu Univ., Grad. Sch.)
MATSUDA MAMI
(Kyushu Univ., Grad. Sch.)
NASU RISA
(Kyushu Univ., Grad. Sch.)
MATSUO HIROTAMI
(Kyushu Univ., Grad. Sch.)
SAWADA YASUFUMI
(Kyushu Univ., Grad. Sch.)
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Journal Title;Xenobiotic Metabolism and Disposition
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Journal Code:X0758A
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ISSN:0916-1139
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VOL.15;NO.Supplement;PAGE.S118-S119(2000)
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| Figure&Table&Reference;FIG.3, TBL.2, REF.7 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;We have developed a strategy for the quantitative prediction of drug-induced Parkinsonism based on receptor-occupancies of the domapine D-1 receptor (DRD1), the dopamine D-2 receptor (DRD2) and the muscarinic acetylcholine receptor (mAChR). The clinical risk of an individual prescription to induce Parkinsonism can be quantitatively predicted by this strategy from the set of pharmacokinetic data in humans and the affinities of each drug for DRD1,DRD2 and mAChR. The inter-individual variation of the risk may be also predictable by using this strategy if several individual factors, such as hepatic and renal functions, genetic polymorphisms of metabolic enzymes and receptors etc., are properly incorporated. This strategy can be applied onto a computer-aided system to select the best prescription for a patient. (author abst.) |
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