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酚类化合物雌激素受体结合亲和力的定量构效关系

Quantitative structure-activity relationships for estrogen receptor binding affinity of phenolic chemicals.

作者信息

Hu Jian-Ying, Aizawa Takako

机构信息

Department of Urban and Environment Science, Peking University, 100871, Beijing, China.

出版信息

Water Res. 2003 Mar;37(6):1213-22. doi: 10.1016/S0043-1354(02)00378-0.

Abstract

The estrogen receptor (ER) binding affinities of 25 compounds including 15 industrial phenolic chemicals, two phytoestrogens, three natural steroids and one man-made steroid were detected by a binding competition assay. The 17 industrial phenolic chemicals were selected as objective compounds because they are possibly released from epoxy and polyester-styrene resins used in lacquer coatings of concrete tank and lining of steel pipe in water supply system. A quantitative structure-activity relationship (QSAR) for structurally diverse phenols, nine alkylphenols with only one alkyl group, four hydroxyl biphenyls, bisphenol A and four natural and man-made estrogens was established by applying a quantum chemical modeling method. Logarithm of octanol-water coefficient (logPow), molecular volume (V(m)), and energies of the highest occupied molecular orbital ( epsilon (HOMO)) and lowest unoccupied molecular orbital ( epsilon (LUMO)) were selected as hydrophobic, steric (V(m)), and electronic chemical descriptors, respectively. Chemicals capable of ER binding had large V(m) and high epsilon (HOMO), while the effects of logPow and epsilon (LUMO) on the binding affinity could not be identified. The QSAR made successful predictions for the three phytoestrogens. Also, the successful prediction of ER-binding affinity for biochanin A, another phytoestrogen, two indicators of pH (phenolphthalin and phenolphthalein) and one alkylphenolic chemical with three alkyl groups (4-methyl-2,6-di-butyl-phenol), by amending the V(m) in the above-mentioned QSAR according to the electron-density distribution (or HOMO density) is an additional step in the elucidation of chemical steric and electronic parameters for predicting the binding affinities of phenolic compounds.

摘要

通过结合竞争试验检测了包括15种工业酚类化学品、2种植物雌激素、3种天然甾体和1种人造甾体在内的25种化合物的雌激素受体(ER)结合亲和力。选择这17种工业酚类化学品作为目标化合物,因为它们可能从供水系统中混凝土水箱漆涂层和钢管衬里所用的环氧和聚酯 - 苯乙烯树脂中释放出来。应用量子化学建模方法,建立了结构多样的酚类、9种仅含一个烷基的烷基酚、4种羟基联苯、双酚A以及4种天然和人造雌激素的定量构效关系(QSAR)。分别选择辛醇 - 水分配系数对数(logPow)、分子体积(V(m))以及最高占据分子轨道能量(ε(HOMO))和最低未占据分子轨道能量(ε(LUMO))作为疏水、空间位阻(V(m))和电子化学描述符。能够与ER结合的化学品具有较大的V(m)和较高的ε(HOMO),而logPow和ε(LUMO)对结合亲和力的影响尚无法确定。该QSAR对三种植物雌激素做出了成功预测。此外,通过根据电子密度分布(或HOMO密度)修正上述QSAR中的V(m),成功预测了另一种植物雌激素生物chanin A、两种pH指示剂(酚酞和酚红)以及一种含三个烷基的烷基酚类化学品(4 - 甲基 - 2,6 - 二丁基苯酚)的ER结合亲和力,这是阐明预测酚类化合物结合亲和力的化学空间位阻和电子参数的又一步骤。

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