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药物在过饱和水溶液中结晶动力学的分子驱动因素。

Molecular Drivers of Crystallization Kinetics for Drugs in Supersaturated Aqueous Solutions.

机构信息

Department of Pharmacy, Uppsala University, Uppsala Biomedical Centre, P.O. Box 580, Uppsala SE-751 23, Sweden.

Department of Information Technology, Uppsala University, Lägerhyddsv. 2, hus 1, Box 337, Uppsala SE- 751 05, Sweden.

出版信息

J Pharm Sci. 2019 Jan;108(1):252-259. doi: 10.1016/j.xphs.2018.11.006. Epub 2018 Nov 10.

Abstract

In this study, we explore molecular properties of importance in solution-mediated crystallization occurring in supersaturated aqueous drug solutions. Furthermore, we contrast the identified molecular properties with those of importance for crystallization occurring in the solid state. A literature data set of 54 structurally diverse compounds, for which crystallization kinetics from supersaturated aqueous solutions and in melt-quenched solids were reported, was used to identify molecular drivers for crystallization kinetics observed in solution and contrast these to those observed for solids. The compounds were divided into fast, moderate, and slow crystallizers, and in silico classification was developed using a molecular K-nearest neighbor model. The topological equivalent of Grav3 (related to molecular size and shape) was identified as the most important molecular descriptor for solution crystallization kinetics; the larger this descriptor, the slower the crystallization. Two electrotopological descriptors (the atom-type E-state index for -Caa groups and the sum of absolute values of pi Fukui(+) indices on C) were found to separate the moderate and slow crystallizers in the solution. The larger these descriptors, the slower the crystallization. With these 3 descriptors, the computational model correctly sorted the crystallization tendencies from solutions with an overall classification accuracy of 77% (test set).

摘要

在这项研究中,我们探讨了在过饱和水溶液中发生的溶液介导结晶过程中重要的分子特性。此外,我们将所确定的分子特性与在固态中发生结晶的重要特性进行了对比。使用了一个包含 54 种结构多样的化合物的文献数据集,这些化合物的结晶动力学已经在过饱和水溶液和熔融淬火固体中得到了报道,用于确定在溶液中观察到的结晶动力学的分子驱动力,并将这些与在固体中观察到的驱动力进行对比。这些化合物被分为快速、中等和慢速结晶剂,并使用分子 K-最近邻模型开发了计算机分类。拓扑等效的 Grav3(与分子大小和形状有关)被确定为溶液结晶动力学最重要的分子描述符;这个描述符越大,结晶速度越慢。发现两个电拓扑描述符(-Caa 基团的原子类型 E 状态指数和 C 上的绝对值的π Fukui(+)指数之和)可以将中等和慢速结晶剂在溶液中分离出来。这些描述符越大,结晶速度越慢。使用这 3 个描述符,计算模型正确地对溶液中的结晶趋势进行了排序,总体分类准确率为 77%(测试集)。

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