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溶解度-辅料分类梯度图。

Solubility-excipient classification gradient maps.

作者信息

Avdeef Alex, Bendels Stefanie, Tsinman Oksana, Tsinman Konstantin, Kansy Manfred

机构信息

pION INC, 5 Constitution Way Woburn, MA 01801, USA.

出版信息

Pharm Res. 2007 Mar;24(3):530-45. doi: 10.1007/s11095-006-9169-0.

Abstract

This study assessed the effect of excipients (sodium taurocholate, 2-hydroxypropyl-f-cyclodextrin, potassium chloride, propylene glycol, 1-methyl-2-pyrrolidone, and polyethylene glycol 400) on the apparent intrinsic solubility properties of eight sparingly soluble drugs (four bases, two neutrals, and two acids): astemizole, butacaine, clotrimazole, dipyridamole, griseofulvin, progesterone, glibenclamide, and mefenemic acid. Over 1,200 UV-based solubility measurements (pH 3-10) were made with a high-throughput instrument. New equations, based on the "shift-in-pKa" method, were derived to interpret the complicated solubility-pH dependence observed, and poorly predicted by the Henderson-Hasselbalch equation. An intrinsic solubility-excipient classification gradient map visualization tool was developed to rank order the compounds and the excipients. In excipient-free solutions, all of the ionizable compounds formed either uncharged or mixed-charge aggregates. Mefenamic acid formed anionic dimers and trimers. Glibenclamide displayed a tendency to form monoanionic dimers. Dipyridamole and butacaine tended to form uncharged aggregates. With strong excipients, the tendency to form aggregates diminished, except in the case of glibenclamide. We conclude that a low-cost, compound-sparing, and reasonably accurate high-throughput assay which can be used in early screening to prioritize candidate molecules by their eventual developability via the excipient route is possible with the aid of the "self-organized" intrinsic solubility-excipient classification gradient maps.

摘要

本研究评估了辅料(牛磺胆酸钠、2-羟丙基-β-环糊精、氯化钾、丙二醇、1-甲基-2-吡咯烷酮和聚乙二醇400)对8种难溶性药物(4种碱类、2种中性药物和2种酸类):阿司咪唑、布他卡因、克霉唑、双嘧达莫、灰黄霉素、孕酮、格列本脲和甲芬那酸表观固有溶解度性质的影响。使用高通量仪器进行了1200多次基于紫外的溶解度测量(pH值3 - 10)。基于“pKa偏移”方法推导了新的方程,以解释观察到的复杂的溶解度 - pH依赖性,而亨德森 - 哈塞尔巴尔赫方程对其预测效果不佳。开发了一种固有溶解度 - 辅料分类梯度图可视化工具,用于对化合物和辅料进行排序。在无辅料溶液中,所有可电离化合物均形成不带电荷或混合电荷的聚集体。甲芬那酸形成阴离子二聚体和三聚体。格列本脲表现出形成单阴离子二聚体的趋势。双嘧达莫和布他卡因倾向于形成不带电荷的聚集体。对于强辅料,除格列本脲外,形成聚集体的趋势减弱。我们得出结论,借助“自组织”的固有溶解度 - 辅料分类梯度图,有可能实现一种低成本、节省化合物且相当准确的高通量分析方法,可用于早期筛选,通过辅料途径根据候选分子最终的可开发性对其进行优先级排序。

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