Development of in silico prediction technique for pharmaceutical design and optimization
| Project/Area Number |
19590045
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Physical pharmacy
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| Research Institution | Hoshi University |
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Principal Investigator |
TAKAYAMA Kozo Hoshi University, 薬学部, 教授 (00130758)
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| Project Period (FY) |
2007 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2007: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 製剤設計 / 最適化 / スプライン / ブートストラップ / インシリコ予測 / ベイジアンb\ネットワーク / 共分散構造分析 / ジルチアゼム塩酸塩 / 長期徐放システム / 潜在構造分析 / 自己組織化マップ / 薄板スプライン / 実験計画法 / ヒストグラム / 薄版スプライン / 信頼区間 / モンテカルロ探索 / デザインスペース / コントロールスペース / 感度分析 |
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| Research Abstract |
A nonlinear response surface method incorporating thin-plate spline interpolation (RSM-S) was developed and applied to the designing a sustained release matrix tablet formulation. A bootstrap (BS) resampling method was employed to estimate confidence intervals of the optimal solution. As a result, the matrix tablet formulation with a constant release rate of the active ingredient for a long period was successfully optimized using RSM-S and the confidence interval of the optimal solution was adequately evaluated using BS.
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Report
(6 results)
Research Products
(82 results)
