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苯酚类化合物小鼠腹腔注射LD_(50)定量构效关系的研究

Study on the Quantitative Structure-Toxicity Relationships of Phenol Compounds in Mouse via Peritoneum LD_(50)
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摘要 对苯酚类化合物小鼠腹腔注射LD50的定量构效关系进行了研究。利用计算机应用程序,在AM1和PM3模式下计算了51个苯酚类化合物的17种量化参数,用40个化合物研究他们对小鼠腹腔注射急性毒性(LD50)的影响,经统计分析,又引入了5个参数的交叉项,利用线性回归方法并获得9个苯酚类化合物小鼠经口急性毒性预测模型。经模型验证及leave-one-out交互验证,筛选得到一个预测模型。用另11个化合物作为测试集,证明该模型具有很好的预测能力,可用于苯酚类化合物的毒性机理研究和毒性预测。 The quantita,tive structure-toxicity relationship (QSTR) of phenol compounds in mouse via peritoneum LD50 was studied. 17 quantum chemistry parameters of 51 phenol compounds were calculated under AM1 and PM3 rood using computer program. The effect of quantum chemistry parameters on the acute toxicity of phenol compounds was studied using 40 compounds, 5 cross factors were taken into account and 9 predicting models were obtained using linear regression model method. After model test and leave-one-out test one model was obtained. We used 11 compounds to test the toxicity. Test shows that the model has a good forecasting ability and it could be used in toxicity study and toxicity prediction of phenol compounds.
出处 《淮海工学院学报(自然科学版)》 CAS 2007年第3期44-48,57,共6页 Journal of Huaihai Institute of Technology:Natural Sciences Edition
基金 国家自然科学基金资助项目(30571591)
关键词 苯酚类化舍物 构效关系 线性模型 毒性预测 phenol compounds QSTR linear model toxicity prediction
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参考文献6

  • 1ALEXANDRA I,BAKHTIYOR R,LEONID G,et al.Structure-toxicity relationships of nitroaromatic compounds[J].Molecular Diversity,2006,10(3):233-245.
  • 2KUNAL R,GOPINATH G.QSTR with extended topochemical atom (ETA) indices.VI.Acute toxicity of benzene derivatives to tadpoles (Rana Japonica)[J].J Mol Model,2006,12(5):306-316.
  • 3DONATAS Z,PRANAS J,ALANAS P,et al.Progress in toxinformatics:the challenge of predicting acute toxicity[J].Current Topics in Medicinal Chemistry,2003,3(11):1301-1314.
  • 4于瑞莲.苯甲酸类化合物对发光菌的毒性及定量构效[J].环境科学与技术,2006,29(10):22-23. 被引量:4
  • 5DAVIS C S,STOKES M E,KOCH G G.Categorical Data Analysis Using the SAS System[M].John Wiley:Second SAS Institute Press,2000.
  • 6LI Z J.Longitudinal data analysis using generalized linear model[D].Ottawa:Unpublished Dissertation,2006.

二级参考文献16

  • 1于瑞莲,胡恭任.苯胺类化合物对发光菌的毒性及定量构效[J].华侨大学学报(自然科学版),2005,26(2):195-198. 被引量:4
  • 2Blum D J W, Speece R E. Quantitative structure-activity relationships for chemicals toxicity to environmental bacteria[J]. Ecotoxi. Env. Saf., 1991, 22:198-224.
  • 3Zhao Y H, He Y B, Wang L S. Predicting toxicities of substituted aromatic hydrocarbons to fish by toxicities to Daphnia Magna or Photobacterium phosphoreum [J]. Toxicological and Environmental Chemistry, 1995, 51:191-195.
  • 4Zhao Y H, Wang L S, Gao H, et al. Quantitative structure-activity relationships between toxicity of organic chemicals to fish and to Photobacterium phosphoreum[J]. Chemosphere,1993, 26(11):1971-1979.
  • 5Donalson W T. The role of property-reactivity relationships in meeting the EPA's needs for environmental fate constants[J]. Environ. Toxi. chem., 1992, 111(7): 893-901.
  • 6Lipnick R L. A perspective on quantitative structure-activity relationships in ecotoxicology[J]. Environ. Toxicol. chem.,1985, 4: 255-257.
  • 7Takuo Kishino, Kunio Kobayashi. Acute toxicity and structure-activity relationships of chlorophenols in fish[J]. Wat.Res, 1996, 30(2):387-392.
  • 8Schultz T W, Bearden A P, Jaworska J S. A novel QSAR approach for estimating toxicity of phenols [J]. SAR and QSAR in Environmental Research, 1995, 5:99-112.
  • 9Penttinen O P. Chlorophenols in aquatic environments structure-activity correlations[J]. Ann. Zool. Fennici., 1995, 32:287-294.
  • 10Mekenyan O G, Veith G D. Relationships between descriptors for hydrophobicity and softy electrophilicity in predicting toxicity[J]. SAR and QSAR in Environmental Research,1993,1:335-344.

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