Optimization of transdermal and transmucosal drug delivery systems utilizing thin-plate spline interpolation

利用薄板样条插值优化透皮和跨粘膜给药系统

基本信息

  • 批准号:
    16590035
  • 负责人:
  • 金额:
    $ 2.05万
  • 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:
    2004
  • 资助国家:
    日本
  • 起止时间:
    2004 至 2006
  • 项目状态:
    已结题

项目摘要

The response surface method incorporating multivariate spline interpolation (RSM-S) is a powerful technique for the formulation optimization of pharmaceuticals. However, no satisfactory method has been developed to evaluate the reliability of the optimal solution. We integrated bootstrap (BS) resampling and Kohonen's self-organizing maps (SOM) into RSM-S using the formulation optimization of transderaml and transmucosal drug delivery systems as well as conventional tablets as the model experiments. Based on the data set obtained, the simultaneous optimal solution was estimated using RSM-S. Leave-one-out cross-validation showed the optimal solution to be reliable.Concurrently, a large number of BS samples were generated from the original data set using BS resampling, and simultaneous optimal solutions for each BS sample (BS optimal solutions) were estimated. The distribution of the BS optimal solutions was far from a normal distribution, suggesting a mixture of global and local optimal solutions. SOM clustering was then used to identify the set of global optimal solutions. SOM clustering divided the BS optimal solutions into several clusters, and the reliability of the optimal solution was evaluated from the cluster that included the optimal solution. The method proposed in this study offers a promising way to evaluate the robustness of nonlinear optimal solutions.
多变量样条插值响应面法是一种有效的药物配方优化方法。然而,目前还没有令人满意的方法来评估最优解的可靠性。我们将bootstrap (BS)重采样和Kohonen’s自组织图谱(SOM)整合到RSM-S中,以经皮和经黏膜给药系统的处方优化以及常规片剂为模型实验。基于所获得的数据集,利用RSM-S估计了同时最优解。留一交叉验证结果表明,最优解是可靠的。同时,对原始数据集进行BS重采样,生成大量BS样本,并估计每个BS样本的同时最优解(BS最优解)。BS最优解的分布远非正态分布,是全局最优解和局部最优解的混合分布。然后使用SOM聚类来识别全局最优解集。SOM聚类将BS最优解划分为多个聚类,从包含最优解的聚类中评估最优解的可靠性。本文提出的方法为评价非线性最优解的鲁棒性提供了一种很有前途的方法。

项目成果

期刊论文数量(100)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Combined effects of ethanol and L-menthol on hairless rat stratum corneum investigated by synchrotron X-ray diffraction.
Formulation optimization of paclitaxel carried by PEGylated ointments based on artificial neural network
基于人工神经网络的聚乙二醇化紫杉醇软膏剂型优化
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H.Fujita;Y.Umezuki;K.Imamura;D.Ishikawa;S.Uchimura;A.Nara;T.Yoshimori;Y.Hayashizaki;J.Kawai;K.Ishidoh;Y.Tanaka;M.Himeno;T.Fan
  • 通讯作者:
    T.Fan
haracterization of insulin protection properties of complexation hydrogels in gastric and intestinal enzyme fluids
胃和肠酶液中络合水凝胶的胰岛素保护特性的表征
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Minami;M et al.;石垣靖人;T.Yamagata
  • 通讯作者:
    T.Yamagata
Multivariate spline interpolation as a novel method to optimize pharmaceutical formulation
多元样条插值作为优化药物配方的新方法
  • DOI:
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kuwahara I;Lillehoi EP;Lu W;Singh IS;Isohama Y;Miyata T;Kim KC;K.Takayama
  • 通讯作者:
    K.Takayama
Effects of ethylcellulose and 2-octyldodecanol additives on skin permeation and irritation with ethylene-vinyl acetate copolymer matrix patches containing formoterol fumarate
  • DOI:
    10.1248/bpb.29.1717
  • 发表时间:
    2006-08-01
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Kakubari, Ikuhiro;Sasaki, Hiroyuki;Takayama, Kozo
  • 通讯作者:
    Takayama, Kozo
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TAKAYAMA Kozo其他文献

TAKAYAMA Kozo的其他文献

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{{ truncateString('TAKAYAMA Kozo', 18)}}的其他基金

Creaton of tablet database and visulalization of its internal structure
平板电脑数据库的创建及其内部结构可视化
  • 批准号:
    23590053
  • 财政年份:
    2011
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of in silico prediction technique for pharmaceutical design and optimization
药物设计和优化的计算机预测技术的发展
  • 批准号:
    19590045
  • 财政年份:
    2007
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Optimization of transdermal and transmucosal drug delivery systems utilizing artificial neural networks
利用人工神经网络优化透皮和跨粘膜给药系统
  • 批准号:
    12672096
  • 财政年份:
    2000
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Evaluation of percutaneous absorption promoters by means of solid fractal analysis of skin stratum corneum
皮肤角质层固体分形分析评价经皮吸收促进剂
  • 批准号:
    07672329
  • 财政年份:
    1995
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

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Movement Optimization of Redundant Robots using Dynamic Movement Primitives and Response Surface Method
使用动态运动原语和响应面法的冗余机器人运动优化
  • 批准号:
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  • 财政年份:
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  • 批准号:
    8009770
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    1980
  • 资助金额:
    $ 2.05万
  • 项目类别:
    Standard Grant
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