首页> 外文期刊>Chemical research in toxicology >Structure-toxicity relationships for benzenes evaluated with Tetrahymena pyriformis.
【24h】

Structure-toxicity relationships for benzenes evaluated with Tetrahymena pyriformis.

机译:用梨形四膜虫评估苯的结构-毒性关系。

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:在为期两天的梨形四膜虫种群增长减损试验中测试了200种取代苯的毒性数据,这些试验代表中性麻醉,极性麻醉,呼吸解偶联以及弱和强的亲电子作用机制。定量结构-毒性模型,将毒性[log(IGC(50)(-)(1))]与通过1-辛醇/水分配系数(log K(ow))定量的疏水性和通过分子定量的亲电反应性相关轨道参数,最大超定域性(S(max))被开发出来。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]可用于预测急性效力,而无需事先确定作用机理。残留物的检查表明,挥发性高的中性麻醉剂(例如甲基和氯取代的苯)以及高反应性的含氟和硝基的衍生物的拟合效果很差。观察到的(obs)和预测的(pred)毒性对另一套衍生物的比较[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]验证了该模型是良好的毒性预测因子,无论其毒性作用机理如何。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号