Graduate School of Agriculture, Kyoto University, Kitashirakawa-oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan.
Faculty of Engineering, Toyama Prefectural University, 5180, Kurokawa, Imizu-shi, Toyama 939-0398, Japan.
Bioorg Med Chem. 2020 May 1;28(9):115429. doi: 10.1016/j.bmc.2020.115429. Epub 2020 Mar 19.
Cytochrome P450 (CYP) enzymes constitute a superfamily of heme-containing monooxygenases. CYPs are involved in the metabolism of many chemicals such as drugs and agrochemicals. Therefore, examining the metabolic reactions by each CYP isoform is important to elucidate their substrate recognition mechanisms. The clarification of these mechanisms may be useful not only for the development of new drugs and agrochemicals, but also for risk assessment of chemicals. In our previous study, we identified the metabolites of tebufenozide, an insect growth regulator, formed by two human CYP isoforms: CYP3A4 and CYP2C19. The accessibility of each site of tebufenozide to the reaction center of CYP enzymes and the susceptibility of each hydrogen atom for metabolism by CYP enzymes were evaluated by a docking simulation and hydrogen atom abstraction energy estimation at the density functional theory level, respectively. In this study, the same in silico prediction method was applied to the metabolites of tebufenozide derivatives by major human CYPs (CYP1A2, 2C9, 2C19, 2D6, and 3A4). In addition, the production rate of the metabolites by CYP3A4 was quantitively analyzed by frequency based on docking simulation and hydrogen atom abstraction energy using the classical QSAR approach. Then, the obtained QSAR model was applied to predict the sites of metabolism and the metabolite production order by each CYP isoform.
细胞色素 P450(CYP)酶构成了一个血红素单加氧酶超家族。CYP 参与许多化学物质的代谢,如药物和农药。因此,检查每种 CYP 同工酶的代谢反应对于阐明其底物识别机制非常重要。这些机制的阐明不仅对新药物和农药的开发有用,而且对化学品的风险评估也有用。在我们之前的研究中,我们鉴定了昆虫生长调节剂虫酰肼在两种人 CYP 同工酶:CYP3A4 和 CYP2C19 作用下形成的代谢物。通过对接模拟和密度泛函理论水平的氢原子提取能量估算,分别评估了虫酰肼各部位对 CYP 酶反应中心的可及性和各氢原子对 CYP 酶代谢的敏感性。在这项研究中,同样的计算机预测方法应用于主要人 CYP(CYP1A2、2C9、2C19、2D6 和 3A4)作用下的虫酰肼衍生物的代谢物。此外,通过基于对接模拟和氢原子提取能量的频率,使用经典 QSAR 方法对 CYP3A4 产生代谢物的速率进行了定量分析。然后,将获得的 QSAR 模型应用于预测每个 CYP 同工酶的代谢部位和代谢物生成顺序。