Mechanism-based quantitative structure-activity relationships for the inhibition of substituted phenols on germination rate of Cucumis sativus

被引:32
|
作者
Wang, XD [1 ]
Yu, JZ
Wang, Y
Wang, LS
机构
[1] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Chem, Kowloon, Hong Kong, Peoples R China
基金
日本学术振兴会; 中国国家自然科学基金;
关键词
modes of action; phytotoxicity; response-surface analysis; QSAR;
D O I
10.1016/S0045-6535(01)00082-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Comparative inhibition activity (GC(50)) of 42 structurally diverse substituted phenols on seed germination rate of Cucumis sativus was investigated. Quantitative structure-activity relationships (QSARs) were developed by using hydrophobicity (1-octanol/water partition coefficient, logK(ow)) and electrophilicity (the energy of the lowest unoccupied molecule orbital, E(lumo)) for the toxicity of phenols according to their modes of toxic action. Most phenols elicited their response via a polar narcotic mechanism and a highly significant log K(ow)-based model was obtained (GC(50) = 0.92log K(ow) + 1.99, r(2) = 0.84, n = 29). The inclusion of E(lumo) greatly improved the predictive power of the polar narcotic QSAR (GC(50) = 0.88log K(ow) - 0.30E(lumo) + 1.99, r(2) = 0.93, n = 29). pK(a) proved to be an insignificant influencing factor in this study. Poor correlation with hydrophobicity and strong correlation with electrophilicity were observed for the nine bio-reactive chemicals. Their elevated toxicity was considerably underestimated by the polar narcotic log K(ow)-dependent QSAR. The nine chemicals consist of selected nitro-substituted phenols, hydroquinone, catechol and 2-aminophenol. Their excess toxic potency could be explained by their molecular structure involving in vivo reaction with bio-macromolecules. Strong dissociation of carboxyl group of the four benzoic acid derivatives greatly decreased their observed toxicity. In an effort to model all chemicals including polar narcotics and bio-reactive chemicals, a response-surface analysis with the toxicity, logK(ow) and E(lumo) was performed. This resulted in a highly predictive two-parameter QSAR for most of the chemicals (GC(50) = 0.70log K(ow) - 0.66E(lumo) + 2.17, r(2) = 0.89, n = 36). Catechol and 2,4-dinitrophenol proved to be outliers of this model and their much high toxicity was explained. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:241 / 250
页数:10
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