State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Suzhou NeuPharma Co., Ltd., Suzhou 215123, China.
Environ Toxicol Pharmacol. 2013 Sep;36(2):626-635. doi: 10.1016/j.etap.2013.06.004. Epub 2013 Jun 24.
The binding interactions between hydroxylated polychlorinated biphenyls (HO-PCBs) and the aryl hydrocarbon receptor (AhR) are suspected of causing toxic effects. To understand the binding mode between HO-PCBs and AhR, and to explore the structural characteristics that influence the AhR agonistic activities of HO-PCBs, the combination of molecular docking, three-dimensional quantitative structure-activity relationship (3D-QSAR), and molecular dynamics (MD) simulations was performed. Using molecular docking, the HO-PCBs were docked into the binding pocket of AhR, which was generated by homology modeling. Comparative molecular similarity index analysis (CoMSIA) models were subsequently developed from three different alignment rules. The optimum 3D-QSAR model showed good predictive ability (q(2)=0.583, R(2)=0.913) and good mechanism interpretability. The statistical reliability of the CoMSIA model was also validated. In addition, molecular docking and MD simulations were applied to explore the binding modes between the ligands and AhR. The results obtained from this study may lead to a better understanding of the interaction mechanism between HO-PCBs and AhR.
羟基化多氯联苯(HO-PCBs)与芳香烃受体(AhR)之间的结合相互作用被怀疑会引起毒性作用。为了了解 HO-PCBs 与 AhR 之间的结合模式,并探讨影响 HO-PCBs 对 AhR 激动活性的结构特征,进行了分子对接、三维定量构效关系(3D-QSAR)和分子动力学(MD)模拟的组合研究。通过分子对接,将 HO-PCBs 对接入同源建模生成的 AhR 结合口袋中。随后,根据三种不同的对齐规则开发了比较分子相似性指数分析(CoMSIA)模型。最佳的 3D-QSAR 模型显示出良好的预测能力(q(2)=0.583,R(2)=0.913)和良好的机制可解释性。CoMSIA 模型的统计可靠性也得到了验证。此外,还应用分子对接和 MD 模拟来探索配体与 AhR 之间的结合模式。这项研究的结果可能有助于更好地理解 HO-PCBs 与 AhR 之间的相互作用机制。