数量结构-活动关系
化学
芳香烃受体
多溴联苯醚
对接(动物)
生物信息学
氢键
分子动力学
立体化学
同源建模
氨基酸残基
结合位点
分子模型
计算生物学
计算化学
生物化学
分子
酶
有机化学
生物
污染物
转录因子
肽序列
医学
护理部
基因
作者
X Li,Xiaoyong Wang,Wei Shi,Hezhen Liu,Yu H
标识
DOI:10.1080/1062936x.2012.729225
摘要
Polybrominated diphenyl ethers (PBDEs) have become ubiquitous contaminations due to their use as flame retardants. The structural similarity of PBDE to some dioxin-like compounds suggested that they may share similar toxicological effects: they might activate the aryl hydrocarbon receptor (AhR) signal transduction pathway and thus might have adverse effects on wildlife and humans. In this study, in silico computational workflow combining molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) was performed to investigate the binding interactions between PBDEs and AhR and the structural features affecting the AhR binding affinity of PBDE. The molecular docking showed that hydrogen-bond and hydrophobic interactions were the major driving forces for the binding of ligands to AhR, and several key amino acid residues were also identified. The CoMSIA model was developed from the conformations obtained from molecular docking and exhibited satisfactory results as q (2) of 0.605 and r (2) of 0.996. Furthermore, the derived model had good robustness and statistical significance in both internal and external validations. The 3D contour maps generated from CoMSIA provided important structural features influence the binding affinity. The obtained results were beneficial to better understand the toxicological mechanism of PBDEs.
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