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卤代芳香族外来化合物与芳基烃受体结合的定量构效关系评估。

A QSAR evaluation of Ah receptor binding of halogenated aromatic xenobiotics.

作者信息

Mekenyan O G, Veith G D, Call D J, Ankley G T

机构信息

Lake Superior Research Institute, University of Wisconsin-Superior 54880, USA.

出版信息

Environ Health Perspect. 1996 Dec;104(12):1302-10. doi: 10.1289/ehp.961041302.

Abstract

Because of their widespread occurrence and substantial biological activity, halogenated aromatic hydrocarbons such as polychlorinated biphenyls (PCBs), polychlorinated dibenzofurans (PCDFs), and polychlorinated dibenzo-p-dioxins (PCDDs) comprise one of the more important classes of contaminants in the environment. Some chemicals in this class cause adverse biological effects after binding to an intracellular cytosolic protein called the aryl hydrocarbon receptor (AhR). Toxic responses such as thymic atrophy, weight loss, immunotoxicity, and acute lethality, as well as induction of cytochrome P4501A1, have been correlated with the relative affinity of PCBs, PCDFs, and PCDDs for the AhR. Therefore, an important step in predicting the effects of these chemicals is the estimation of their binding to the receptor. To date, however, the use of quantitative structure activity relationship (QSAR) models to estimate binding affinity across multiple chemical classes has shown only modest success possibly due, in part, to a focus on minimum energy chemical structures as the active molecules. In this study, we evaluated the use of structural conformations other than those of minimum energy for the purpose of developing a model for AhR binding affinity that encompasses more of the halogenated aromatic chemicals known to interact with the receptor. Resultant QSAR models were robust, showing good utility across multiple classes of halogenated aromatic compounds.

摘要

由于多氯联苯(PCBs)、多氯二苯并呋喃(PCDFs)和多氯二苯并对二噁英(PCDDs)等卤代芳烃广泛存在且具有显著的生物活性,它们构成了环境中较为重要的一类污染物。该类中的一些化学物质在与一种名为芳烃受体(AhR)的细胞内胞质蛋白结合后会产生不良生物效应。胸腺萎缩、体重减轻、免疫毒性和急性致死性等毒性反应,以及细胞色素P4501A1的诱导,都与PCBs、PCDFs和PCDDs对AhR的相对亲和力相关。因此,预测这些化学物质效应的一个重要步骤是估计它们与受体的结合情况。然而,迄今为止,使用定量构效关系(QSAR)模型来估计多种化学类别的结合亲和力仅取得了一定程度的成功,这可能部分是由于将重点放在了作为活性分子的最低能量化学结构上。在本研究中,我们评估了使用除最低能量结构之外的其他结构构象来建立一个涵盖更多已知与受体相互作用的卤代芳烃化学物质的AhR结合亲和力模型。所得的QSAR模型很稳健,在多类卤代芳烃化合物中显示出良好的实用性。

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