| Budget Amount *help |
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2011: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2009: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
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| Research Abstract |
Drug metabolism is closely related to efficacy and safety of drugs, of which inhibition or induction is involved in drug-drug interaction following administration of multiple drugs. In order to predict drug-drug interactions, it is required to comprehensively understand not only interaction of chemicals with individual drug-metabolizing enzymes but that with a network system regulating expression and activity of the enzymes. In the present study, we developed a natural language processing-based text-mining technique for systematically collecting information on interaction between chemicals and a drug metabolism-related network. In addition, based on the information collected, we systematically performed structure-activity relationship analyses. These results will present a clue to drug design and discovery intended for development of safer drugs.
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