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Exploring quantitative structure-activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants

机译:探索中草药中抗氧化剂酚类化合物的定量构效关系研究

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In the present work, quantitative structure-activity relationship (QSAR) models have been built for a wide variety of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants, with their Trolox equivalent antioxidant capacity measured using 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical and 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulphonic acid) radical (ABTS√+) assay methods. Non-linear models obtained using genetic partial least-squares technique were acceptable both in terms of internal and external predictivity. Validation of developed models using metrics and randomisation technique yielded results indicating the predictivity and robustness, respectively, of the developed models. The models signify that the presence of ketonic oxygen within the molecular structure favours their antioxidant activity. In addition, the number of hydroxyl groups, extent of branching, degree of methoxylation and the number of methyl and methylene substituents also dictate the antioxidant activity of these molecules. Thus, the QSAR models developed here can be utilised for the antioxidant activity prediction of a new series of molecules.View full textDownload full textKeywordsantioxidants, phenolic compounds, QSAR, GFA, G/PLSRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/08927022.2010.503326
机译:在目前的工作中,已经针对从传统中草药中获得的多种抗氧化剂酚类化合物建立了定量构效关系(QSAR)模型,并使用1,1-二苯基-2-吡啶并肼( DPPH)自由基和2,2'-叠氮基双(3-乙基苯并噻唑啉-6-磺酸)自由基(ABTS →ˆ + )分析方法。就内部和外部预测而言,使用遗传偏最小二乘技术获得的非线性模型都是可以接受的。使用度量和随机化技术对开发的模型进行验证,得出的结果分别表明了开发模型的可预测性和鲁棒性。该模型表明分子结构内存在酮氧有利于其抗氧化活性。另外,羟基的数目,支化程度,甲氧基化的程度以及甲基和亚甲基取代基的数目也决定了这些分子的抗氧化活性。因此,此处开发的QSAR模型可用于预测一系列新分子的抗氧化活性。查看全文下载全文关键字抗氧化剂,酚类化合物,QSAR,GFA,G / PLS相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线” ,services_compact:“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/08927022.2010.503326

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