课题基金 / 基金详情

Effective use of the intellectual sharing basis in the drug safety information community, and application to the education/research in the information pharmacy of our faculty of pharmaceutical sciences.

Effective use of the intellectual sharing basis in the drug safety information community, and application to the education/research in the information pharmacy of our faculty of pharmaceutical sciences.
有效利用药品安全信息社区的知识共享基础,并应用于我院药学院信息药学教育/研究。
批准号:
17590126
负责人:
YAMAUCHI Aiko
金额:
$2.24万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2006

项目摘要

项目成果

YAMAUCHI Aiko的其他基金

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中文摘要
翻译
在本研究中,我们发展了日本文部科学省探索性研究资助项目(2003-2004)和日本科学技术振兴机构社会科学技术研究所项目(2003-2006)的成果。将信息药学中的药物安全信息社区数据库应用于药学学院的药学保健与科学教育/研究。在信息社区中,有关致畸性的药物安全信息可以在互联网上的医疗消费者、卫生保健工作者和研究人员之间传播。我们构建了基于web的数据库系统anzen-drug com,包括药物基本信息、化学结构和临床数据三个子系统。各种社区成员可以检索数据库上的必要信息。医疗保健消费者可以在孕期登记自己的用药历史,更多的妊娠和分娩结果在数据库中。anzen-drug网站(http://anzen-drug.ph.tokushima-u.ac.jp/)已开通试用。我们还开发了一种新的算法SimScore,并在该程序中实现,用于定量评估目标化合物与FDA定义为人类致畸物的致畸药物的结构相似性评分。所开发的技术已申请专利(专利申请号2005-34393)。从已建立的药物基本信息和化学结构数据库中获取的信息可以有效地用于本科生和研究生的教育研究。我们特别提出了“临床QSAR”,利用定量构效关系分析方法(quantitative structure - activity relationship, QSAR)预测药物在人体内的排泄进入母乳或胎盘转运,以供化学信息学的临床应用。信息社区的智力基础设施有助于循证医学的实践,有效的药物研发,以及在临床风险沟通中发挥重要作用的药物信息领域人员的培训。少
英文摘要
In this study, we have developed the results of the Grant-in-Aid for Exploratory Research (2003-2004) from the Ministry of Education, Culture, Sports, Science and Technology, and the project (2003-2006) of the research institute of Science and Technology for Society, Japan Science and Technology Agency. The database of Drug Safety Information Community in the Information-Pharmacy was applied to the education/research for pharmaceutical health care and sciences in the faculty of pharmaceutical Sciences.In the Information Community, the drug safety information about teratogenicity can circulate between medical consumers, health care workers, and researchers on the Internet. We constructed a web-based database system, anzen-drug com, consisting of three subsystems i.e. basic drug information, chemical structures and clinical data. A variety of community members can retrieve necessary information on the database. The health care consumers can register their own medication history during pr … More egnancy and delivery outcome on the database. The site of anzen-drug com (http://anzen-drug.ph.tokushima-u.ac.jp/) has been opened for the trial use. We also developed a novel algorithm and implemented in the program, SimScore, to evaluate quantitatively the structural similarity score of a target compound with the teratogenic drugs which are defined as human teratogens by the FDA. We applied to patent those developed technology (Number of patent application 2005-34393).The information from the established DB of basic drug information and chemical structures are effectively utilized in the educational research of undergraduate and graduate students. In particular, we have proposed "the Clinical QSAR", in which the drug excretion into breast-milk or the placental drug transport in human can be predicted by using the analysis method of quantitative structure activity relationship (QSAR) for the clinical application of cheminformatics.The intellectual infrastructure of the information community contributes to the practice of evidence-based medicine, the efficient drug research and development, and the training of staffs in the areas of pharmaceutical information who play important roles in clinical risk communication. Less
期刊论文(130)
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会议论文
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79
    Data-mining approach for prediction of the drug safety in humans
    • 批准号:
      23590185
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $3.49万
    • 财政年份:
      2011
    • 负责人:
      YAMAUCHI Aiko
    • 依托单位:
    海外基金