Schultz T W
College of Veterinary Medicine, The University of Tennessee, P.O. Box 1071, Knoxville, Tennessee 37901-1071, USA.
Chem Res Toxicol. 1999 Dec;12(12):1262-7. doi: 10.1021/tx9900730.
Toxicity data for 200 substituted benzenes tested in the two-day Tetrahymena pyriformis population growth impairment assay representing the neutral narcosis, polar narcosis, respiratory uncoupling, and weak and strong electrophilic mechanisms of toxic action were evaluated. A quantitative structure-toxicity model correlating toxic potency [log(IGC(50)(-)(1))] with hydrophobicity quantified by the 1-octanol/water partition coefficient (log K(ow)) and electrophilic reactivity quantified by the molecular orbital parameter, maximum superdelocalizability (S(max)), was developed. This model [log(IGC(50)(-)(1)) = 0.50(log K(ow)) + 9.85(S(max)) - 3.47; n = 197, r(2) = 0.816, s = 0.34, F = 429, Pr > F = 0.0001] allows for the prediction of acute potency without the a priori identification of the mechanism of action. The examination of residuals reveals that neutral narcotics with high volatility (e.g., methyl- and chloro-substituted benzenes) and highly reactive fluoro- and nitro-containing derivatives are fitted poorly. A comparison of observed (obs) and predicted (pred) toxicities on the additional set of derivatives [log(obs IGC(50)(-)(1)) = 1.05[log(pred IGC(50)(-)(1))] + 0.02; n = 20, r(2) = 0.979, s = 0.13, F = 825, Pr > F = 0.0001] validated the model as a good predictor of toxicity regardless of the mechanism of toxic action.
对200种取代苯在为期两天的梨形四膜虫种群生长抑制试验中的毒性数据进行了评估,该试验代表了中性麻醉、极性麻醉、呼吸解偶联以及毒性作用的弱亲电机制和强亲电机制。建立了一个定量结构-毒性模型,该模型将毒性效力[log(IGC(50)(-)(1))]与通过1-辛醇/水分配系数(log K(ow))量化的疏水性以及通过分子轨道参数最大超离域化(S(max))量化的亲电反应性相关联。该模型[log(IGC(50)(-)(1)) = 0.50(log K(ow)) + 9.85(S(max)) - 3.47;n = 197,r(2) = 0.816,s = 0.34,F = 429,Pr > F = 0.0001]无需事先确定作用机制即可预测急性效力。对残差的检验表明,高挥发性的中性麻醉剂(如甲基和氯取代的苯)以及高反应性的含氟和含硝基衍生物拟合效果较差。对另一组衍生物的观察毒性(obs)和预测毒性(pred)进行比较[log(obs IGC(50)(-)(1)) = 1.05[log(pred IGC(50)(-)(1))] + 0.02;n = 20,r(2) = 0.979,s = 0.13,F = 825,Pr > F = 0.0001],验证了该模型是毒性的良好预测指标,无论毒性作用机制如何。