首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >Studies on logP, retention time and QSAR of 2-substituted phenylnitronyl nitroxides as free radical scavengers.
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Studies on logP, retention time and QSAR of 2-substituted phenylnitronyl nitroxides as free radical scavengers.

机译:作为自由基清除剂的2-取代苯基亚硝基硝基氮氧化物的logP,保留时间和QSAR的研究。

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摘要

As reported in our previous paper [Y. Wu, L. Bi, W. Bi, Z. Li, M. Zhao, C. Wang, J. Ju, S. Peng, Bioorg. Med. Chem. 14 (2006) 5711-5720.], a series of novel 2-substituted nitronyl nitroxides were synthesized and characterized to show enhanced free radical scavenger properties. Here, the logP values and retention time (alternatively represented as logK) of these 20 compounds were determined by the shake-flask method and HPLC analysis, respectively. We found that the prediction of logP directly from the measured logK value can result in a high accuracy, thus the determination of time-consuming logP can be replaced by the simple HPLC analysis. Using the conventional Hansch method, the QSAR equations of these nitronyl nitroxides were established to predict their capability of trapping free radicals such as *NO, *H(2)O(2) and *OH. Although the overall predictive accuracy is reasonable, it was found that the logP values for the compounds are not significantly related to their capability of trapping free radicals. Moreover, an improved QSAR analysis was performed by choosing new molecular descriptors generated from e-dragon server. The increased predictive accuracy suggests that these new QSAR models have practical application in screening new potential scavengers from the derivatives of 2-substituted phenylnitronyl nitroxides.
机译:正如我们以前的论文报道的那样[Y. Wu,L.Bi,W.Bi,Z.Li,M.Zhao,C.Wang,J.Ju,S.Peng,Bioorg。中化学14(2006)5711-5720。],合成了一系列新颖的2-取代的硝酰基硝基氧化物,并表征为显示出增强的自由基清除剂性能。在此,分别通过摇瓶法和HPLC分析确定这20种化合物的logP值和保留时间(或表示为logK)。我们发现,直接从测得的logK值预测logP可以导致较高的准确性,因此可以通过简单的HPLC分析代替确定耗时的logP。使用常规的Hansch方法,建立了这些硝酰基氮氧化物的QSAR方程,以预测其捕获自由基的能力,例如* NO,* H(2)O(2)和* OH。尽管总体预测准确性是合理的,但已发现这些化合物的logP值与其捕获自由基的能力没有显着相关。此外,通过选择从电子龙服务器生成的新分子描述符,进行了改进的QSAR分析。预测准确性的提高表明,这些新的QSAR模型在从2-取代的苯基亚硝酰基硝基氧化物的衍生物中筛选出新的潜在清除剂方面具有实际应用价值。

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