沉作为早期口服药物吸收预测的关键参数,第I部分:获取关键数据
Sara Mayer1, Christian Wagner2, Andreas Lehmann2
1Institute of Pharmacy, Department of Biopharmaceutics and Pharmaceutical Technology, University of Greifswald, Felix-Hausdorff-Straße 3, 17489 Greifswald, Germany; Global Drug Product Development, Merck KGaA, Frankfurter Straße 250, 64289 Darmstadt, Germany.
概括
这项研究使用体外数据开发了一种用于基本药物吸收的预测工具. 在体外药物沉显示出与体内口服吸收的良好相关性,有助于药物发现.
科学领域:
- 药理动力学和药物新陈代谢
- 药物发现和开发 药物发现和开发
背景情况:
- 对于弱基药物的体外沉试验在预测体内口服吸收方面存在局限性.
- 精确预测口服药物吸收对于有效的药物发现至关重要.
研究的目的:
- 开发一种用于基本药物的口服吸收的预测工具.
- 建立基本药物化合物的体外和体内数据的综合数据集.
- 创建适用于药物发现和优化的工具.
主要方法:
- 编制了17种模型化合物的体外溶解度,透度和沉数据数据集.
- 使用标准化实验设置测量溶解性和透性.
- 开发了一种微型沉试验 (μPA) 用于简化候选药物查.
- 通过文献审查收集的体内吸收数据.
主要成果:
- 建立了一个数据集,将体外测量与体内吸收联系起来.
- 在体外药物沉程度和体内吸收的分数之间显示出良好的关系.
- 为药物发现开发了一种新的微型沉试验 (μPA).
结论:
- 开发的体外方法和数据集为预测基本药物吸收提供了基础.
- 在体外沉测定显示出预测体内口服吸收的前景.
- 微型沉试验 (μPA) 可以提高药物发现中的优化.
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