Faculty of Agriculture, The Josip Juraj Strossmayer University, PO Box 719, HR-31107 Osijek, Croatia.
Bioorg Med Chem. 2010 Jan 1;18(1):28-35. doi: 10.1016/j.bmc.2009.11.015. Epub 2009 Nov 13.
The applicability of the newly developed RM1 and PM6 methods implemented in the semiempirical quantum chemistry mopac2009 software package in modeling free radical scavenging activity of flavonoids was examined. Bond dissociation enthalpy (BDE) of OH groups could be calculated much faster than with DFT method but with similar quality. Despite the known shortcomings of the Trolox equivalent antioxidant capacity (TEAC) assay, we show that taking into account the hydrogen atom transfer (HAT) mechanism of free radical scavenging of flavonoids encoded by minimal BDE values (BDE(min)) and the number of OH groups (nOH), as well as experimental data, reasonable QSAR models could be developed. For TEAC values of 38 flavonoids measured by the ABTS free radical, a model based on BDE(min) and nOH was developed, having very good statistical parameters (r=0.983, r(cv)=0.976). The applicability of this model to three different data sets of flavonoids and reliability of TEAC values measured in distinct laboratories were discussed. Finally, a reasonably good model of experimental vitamin C equivalent antioxidant capacity (VCEAC) of 36 flavonoids was obtained (r=0.954, r(cv)=0.947), involving BDE(min) and nOH as descriptors. Additionally, all presented models have comparable fit and cross-validated statistical parameters, as well as significant regression coefficients.
新开发的 RM1 和 PM6 方法在半经验量子化学 mopac2009 软件包中的适用性,用于模拟黄酮类化合物的自由基清除活性。可以比 DFT 方法更快地计算 OH 基团的键离解焓 (BDE),但质量相似。尽管 Trolox 等效抗氧化能力 (TEAC) 测定法存在已知的缺点,但我们表明,考虑到最小 BDE 值 (BDE(min)) 和 OH 基团数 (nOH) 编码的黄酮类化合物自由基清除的氢原子转移 (HAT) 机制,以及实验数据,可以开发出合理的 QSAR 模型。对于 ABTS 自由基测量的 38 种黄酮类化合物的 TEAC 值,开发了一种基于 BDE(min)和 nOH 的模型,具有非常好的统计参数 (r=0.983, r(cv)=0.976)。讨论了该模型对三个不同的黄酮类化合物数据集的适用性以及在不同实验室测量的 TEAC 值的可靠性。最后,获得了 36 种黄酮类化合物实验维生素 C 当量抗氧化能力 (VCEAC) 的合理良好模型 (r=0.954, r(cv)=0.947),涉及 BDE(min)和 nOH 作为描述符。此外,所有呈现的模型都具有可比的拟合和交叉验证统计参数,以及显著的回归系数。