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首页> 外文期刊>Organic Chemistry International >A Comparative Study of Two Quantum Chemical Descriptors in Predicting Toxicity of Aliphatic Compounds towardsTetrahymena pyriformis
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A Comparative Study of Two Quantum Chemical Descriptors in Predicting Toxicity of Aliphatic Compounds towardsTetrahymena pyriformis

机译:两种量子化学描述符预测脂族化合物对梨形四膜虫毒性的比较研究

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摘要

Quantum chemical parameters such as LUMO energy, HOMO energy, ionization energy (I), electron affinity (A), chemical potential (μ), hardness (η) electronegativity (χ), philicity (ωα), and electrophilicity (ω) of a series of aliphatic compounds are calculated at the B3LYP/6-31G(d) level of theory. Quantitative structure-activity relationship (QSAR) models are developed for predicting the toxicity (pIGC50) of 13 classes of aliphatic compounds, including 171 electron acceptors and 81 electron donors, towardsTetrahymena pyriformis. The multiple linear regression modeling of toxicity of these compounds is performed by using the molecular descriptor log P(1-octanol/water partition coefficient) in conjunction with two other quantum chemical descriptors, electrophilicity (ω) and energy of the lowest unoccupied molecular orbital (ELUMO). A comparison is made towards the toxicity predicting the ability of electrophilicity (ω) versusELUMOas a global chemical reactivity descriptor in addition to log P. The former works marginally better in most cases. There is a slight improvement in the quality of regression by changing the unit ofIGC50from mg/L to molarity and by removing the racemates and the diastereoisomers from the data set.
机译:量子化学参数,例如a的LUMO能量,HOMO能量,电离能(I),电子亲和力(A),化学势(μ),硬度(η),电负性(χ),亲和性(ωα)和亲电性(ω)系列脂族化合物是在理论上的B3LYP / 6-31G(d)水平上计算的。建立了定量构效关系(QSAR)模型,以预测13类脂族化合物(包括171个电子受体和81个电子供体)对梨形四膜虫的毒性(pIGC50)。这些化合物的毒性的多元线性回归模型是通过使用分子描述符log P(1-辛醇/水分配系数)与其他两个量子化学描述符,亲电性(ω)和最低未占据分子轨道的能量( ELUMO)。比较了毒性,预测了亲电性(ω)对ELUMO除logasP外还作为全局化学反应性描述物的能力,在大多数情况下,前者的效果略好。通过将IGC50的单位从mg / L更改为摩尔浓度,并从数据集中删除外消旋物和非对映异构体,回归质量会有所改善。

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