A Comparative Study of Two Quantum Chemical Descriptors in Predicting Toxicity of Aliphatic Compounds towards Tetrahymena pyriformis

A. H. Pandith, S. Giri, P. Chattaraj
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引用次数: 14

Abstract

Quantum chemical parameters such as LUMO energy, HOMO energy, ionization energy (I), electron affinity (A), chemical potential (), hardness () electronegativity (), philicity (), and electrophilicity () 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 () of 13 classes of aliphatic compounds, including 171 electron acceptors and 81 electron donors, towards Tetrahymena 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 () and energy of the lowest unoccupied molecular orbital (). A comparison is made towards the toxicity predicting the ability of electrophilicity () versus as 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 of from mg/L to molarity and by removing the racemates and the diastereoisomers from the data set.
两种量子化学描述符预测脂肪族化合物对梨形四膜虫毒性的比较研究
在理论的B3LYP/6-31G(d)水平上计算了一系列脂肪族化合物的LUMO能、HOMO能、电离能(I)、电子亲和能(A)、化学势()、硬度()、电负性()、亲和性()、亲电性()等量子化学参数。建立了定量构效关系(QSAR)模型,用于预测13类脂肪族化合物(包括171个电子受体和81个电子给体)对梨状四膜虫的毒性。利用分子描述符logp(1-辛醇/水分配系数)和另外两个量子化学描述符亲电性()和最低未占据分子轨道的能量(),对这些化合物的毒性进行了多元线性回归建模。对毒性预测亲电性能力()与作为除log p之外的全局化学反应性描述符进行了比较,前者在大多数情况下稍微好一些。通过将单位从mg/L改为摩尔浓度,并从数据集中去除外消旋体和非对映异构体,可以略微改善回归的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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