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植物精油对家蝇(L.)杀虫性能的定量构效关系模型。

QSAR models for insecticidal properties of plant essential oils on the housefly ( L.).

机构信息

Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), CONICET, UNLP, La Plata, Argentina.

Cátedra de Química Orgánica, Facultad de Ciencias Agrarias y Forestales, La Plata, Argentina.

出版信息

SAR QSAR Environ Res. 2021 May;32(5):395-410. doi: 10.1080/1062936X.2021.1905711. Epub 2021 Apr 19.

Abstract

The fumigant and topical activities exhibited by 27 plant-derived essentials oils (EOs) on adult housefly are predicted through the Quantitative Structure-Activity Relationship (QSAR) theory. These molecular structure based calculations are performed on 253 structurally diverse compounds from the EOs, where the number of constituents in each essential oil mixture varies between 2 to 24. A large number of 86,048 non-conformational mixture descriptors are derived as linear combinations of the molecular descriptors of the EO components. Two strategies are compared for the mixture descriptor formulation, which consider or avoid the use of the chemical composition. The multivariable linear regression QSAR models of the present work are useful for fumigant and topical applications, describing predictive parallelisms for the insecticidal activity of the analysed complex mixtures.

摘要

通过定量构效关系(QSAR)理论预测了 27 种植物源精油(EOs)对成年家蝇的熏蒸和局部活性。这些基于分子结构的计算是在来自 EOs 的 253 种结构多样的化合物上进行的,其中每种精油混合物的成分数在 2 到 24 之间变化。大量 86,048 个非构象混合物描述符作为 EO 成分的分子描述符的线性组合衍生出来。比较了两种混合物描述符配方策略,一种策略考虑或不考虑化学成分的使用。本工作的多变量线性回归 QSAR 模型可用于熏蒸和局部应用,描述了所分析的复杂混合物杀虫活性的预测相似性。

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