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Comparative QSAR study on para-substituted aromatic sulphonamides as CAII inhibitors: Information versus topological (distance-based and connectivity) indices

机译:作为CAII抑制剂的对位取代芳族磺酰胺的比较QSAR研究:信息与拓扑(基于距离和连通性)指数

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摘要

Comparative quantitative structure-activity relationship studies on para-substituted aromatic sulphonamides carbonic anhydrase II (CAII) inhibitors are reported in this paper. The study is made utilizing (i) information indices along; (ii) distance-based and connectivity indices and (iii) combination of information, distance-based and connectivity type topological indices. The study has shown that distance-based and connectivity type indices are superior for modelling, monitoring and estimating CAII inhibition. The results are critically discussed using a variety of statistical parameters. Our results show that starting from the mono-parametric regression itself, our results are superior: Furthermore, our methodology allowed carrying out much higher-parametric regressions, yielding a nine-parametric model with R-2 as high as 0.8375. The eight-parametric regression, gave R-2 = 0.8343. As there is not much difference, we have considered the eight-parametric regression the best.
机译:本文报道了对位取代的芳族磺酰胺类碳酸酐酶II(CAII)抑制剂的定量结构-活性关系的比较研究。该研究是利用(i)信息索引以及(ii)基于距离和连接性的索引,以及(iii)信息,基于距离和连接性的拓扑索引的组合。研究表明,基于距离和连接性类型的索引在建模,监视和估计CAII抑制方面表现优异。使用各种统计参数对结果进行严格讨论。我们的结果表明,从单参数回归本身开始,我们的结果就更好了:此外,我们的方法允许进行高得多的参数回归,从而生成R-2高达0.8375的九参数模型。八参数回归得出R-2 = 0.8343。由于差异不大,我们认为八参数回归最好。

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