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铂(IV)配合物还原峰电位和脂溶性的分子和统计建模。

Molecular and statistical modeling of reduction peak potential and lipophilicity of platinum(IV) complexes.

机构信息

School of Chemistry, Cardiff University, Park Place, Cardiff, CF10 3AT, UK.

出版信息

J Biol Inorg Chem. 2011 Mar;16(3):361-72. doi: 10.1007/s00775-010-0731-1. Epub 2010 Nov 16.

Abstract

We report the results of the quantitative structure-property relationship analysis of 31 Pt(IV) complexes, for three of which the synthesis is reported for the first time. The X-ray structural analysis of one complex of the series was performed to demonstrate that the PM6 semiempirical method satisfactorily reproduces key features of the geometry of the complexes investigated. Molecular properties extracted from such calculations were then used to construct models of experimental data such as electrochemical peak potentials (evaluated by cyclic voltammetry) and the octanol-water partition coefficient (evaluated by a reversed-phase high performance liquid chromatography method), which are key aspects in the design of such Pt(IV) complexes as potential anticancer prodrugs. Statistically accurate models for both properties were found using combinations of surface areas, orbital energies, dipole moments, and atomic partial charges. These models could form the basis of virtual screening of potential drug molecules, allowing the prediction of properties, closely related to the antiproliferative activity of Pt(IV) complexes, directly from calculated data.

摘要

我们报告了 31 个 Pt(IV)配合物的定量构效关系分析结果,其中有三个是首次报道合成的。对该系列中的一个配合物进行了 X 射线结构分析,以证明 PM6 半经验方法能很好地再现所研究配合物的几何形状的关键特征。然后,从这些计算中提取的分子性质被用于构建实验数据的模型,例如电化学峰电位(通过循环伏安法评估)和辛醇-水分配系数(通过反相高效液相色谱法评估),这是设计此类作为潜在抗癌前药的 Pt(IV)配合物的关键方面。使用表面积、轨道能量、偶极矩和原子部分电荷的组合,找到了这两种性质的统计学上准确的模型。这些模型可以作为虚拟筛选潜在药物分子的基础,允许直接从计算数据预测与 Pt(IV)配合物的抗增殖活性密切相关的性质。

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