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

机译:酚类化学物质与雌激素受体结合亲和力的定量构效关系

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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 (log Pow), molecular volume (V_m), and energies of the highest occupied molecular orbital (ε_(HOMO)) and lowest unoccupied molecular orbital (ε_(LUMO)) were selected as hydrophobic, steric (V_m), and electronic chemical descriptors, respectively. Chemicals capable of ER binding had large V_m and high ε_(HOMO), while the effects of log Pow and ε_(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.
机译:通过结合竞争测定法检测了25种化合物的雌激素受体(ER)结合亲和力,其中包括15种工业酚类化学品,两种植物雌激素,三种天然类固醇和一种人造类固醇。选择了17种工业酚醛化学品作为目标化合物,因为它们很可能从用于供水系统混凝土罐的清漆涂料和钢管衬里的环氧和聚酯-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,九个仅含一个烷基的烷基酚,四个羟基联苯,双酚A和四个天然和人造雌激素的定量构效关系(QSAR)。选择辛醇-水系数(log Pow),分子体积(V_m)的对数和最高占据分子轨道(ε_(HOMO))和最低未占据分子轨道(ε_(LUMO))的能量作为疏水,空间(V_m) )和电子化学描述符。能够与ER结合的化学物质具有较大的V_m和较高的ε_(HOMO),但无法确定log Pow和ε_(LUMO)对结合亲和力的影响。 QSAR对这三种植物雌激素做出了成功的预测。此外,成功预测了对生物chanin A,另一种植物雌激素,pH的两个指标(酚酞和酚酞)和一种具有三个烷基(4-甲基-2,6-二丁基苯酚)的烷基酚类化学物质的ER结合亲和力,通过根据电子密度分布(或HOMO密度)修改上述QSAR中的V_m是阐明用于预测酚类化合物结合亲和力的化学空间和电子参数的附加步骤。

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