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QSAR study of the DPPH radical scavenging activity of di(hetero)arylamines derivatives of benzo[b]thiophenes, halophenols and caffeic acid analogues

机译:QSAR研究苯并[b]噻吩,卤代酚和咖啡酸类似物的二(杂)芳胺衍生物的DPPH自由基清除活性

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摘要

We performed a predictive analysis based on Quantitative Structure-Activity Relationships (QSAR) of the radical scavenging activities of a set of compounds consisting of di(hetero)arylamine derivatives of benzo-[b]thiophenes, halophenols, and caffeic acid analogues. Given the importance of this activity in medicinal chemistry it is of interest to develop a theoretical method for its prediction. The selection of the descriptors from a pool containing more than a thousand geometrical, topological, quantum-mechanical and electronic types of descriptors was performed using a new advanced version of the Enhanced Replacement Method (ERM). The best QSAR linear model was constructed using 52 molecular structures not previously used in this type of quantitative structure-property study, and showed good predictive attributes. The model analysis suggested that the activity depends on the atomic van der Waals volumes and on the atomic electronegativity; and that the conformation of the molecule does not present a relevant role in the activity.
机译:我们基于定量结构-活性关系(QSAR),对由苯并[b]噻吩的二(杂)芳胺衍生物,卤代酚和咖啡酸类似物组成的一组化合物的自由基清除活性进行了预测分析。考虑到该活性在药物化学中的重要性,有必要开发一种预测其的理论方法。使用增强替换方法(ERM)的新高级版本,从包含一千多种几何,拓扑,量子力学和电子类型的描述符的池中选择描述符。最好的QSAR线性模型是使用以前在这种定量结构属性研究中未使用的52种分子结构构建的,并显示出良好的预测属性。模型分析表明,活度取决于原子范德华体积和原子电负性。并且分子的构象在活性中不发挥相关作用。

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