Definition of the structural domain of the baseline non-polar narcosis model for Tetrahymena pyriformis

被引:41
作者
Ellison, C. M. [1 ]
Cronin, M. T. D. [1 ]
Madden, J. C. [1 ]
Schultz, T. W. [1 ,2 ]
机构
[1] Liverpool John Moores Univ, Sch Pharm & Chem, Liverpool L3 5UX, Merseyside, England
[2] Univ Tennessee, Coll Vet Med, Knoxville, TN USA
关键词
non-polar narcosis; Tetrahymena pyriformis; quantitative structure-activity relationship (QSAR); toxicity; applicability domain;
D O I
10.1080/10629360802550366
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The aim of this work was to develop a high-quality 1-octanol/water partition coefficient-dependent (log P) baseline quantitative structure-activity relationship (QSAR) for the toxicity (log [image omitted]) of classic non-polar narcotics to Tetrahymena pyriformis, and subsequently use this model to define the domain of applicability for baseline narcosis. The toxicities to T. pyriformis of 514 possible non-polar narcotics were assessed. A QSAR to predict toxicity was created from a training set of 87 classic non-polar narcotics (the saturated alcohols and ketones): log [image omitted] = 0.78 log P-2.01 (n = 87, r2 = 0.96). This model was then used to predict the toxicity of the remaining chemicals. The chemicals from the large dataset which were poorly predicted by the model (i.e. the prediction was 0.5 log units from the experimental value) were used to aid the definition of structural categories of chemicals which are not non-polar narcotics. Doing so has enabled the domain for non-polar narcosis to be defined in terms of structural categories. Defining domains of applicability for QSAR models is important if they are to be considered for making predictions of toxicity for regulatory purposes.
引用
收藏
页码:751 / 783
页数:33
相关论文
共 24 条
[1]  
[Anonymous], 2002, TOXICOLOGICAL PROFIL
[2]   Mechanistic applicability domains for nonanimal-based prediction of toxicological end points: General principles and application to reactive toxicity [J].
Aptula, Aynur O. ;
Roberts, David W. .
CHEMICAL RESEARCH IN TOXICOLOGY, 2006, 19 (08) :1097-1105
[3]  
Dearden J. C., 2006, INTRO PRINCIPLES DRU, P185
[4]   A stepwise approach for defining the applicability domain of SAR and QSAR models [J].
Dimitrov, S ;
Dimitrova, G ;
Pavlov, T ;
Dimitrova, N ;
Patlewicz, G ;
Niemela, J ;
Mekenyan, O .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2005, 45 (04) :839-849
[5]  
Finney D.J., 1977, PROBIT ANAL, VIII
[6]   Comparative quantitative structure-activity-activity relationships for toxicity to Tetrahymena pyriformis and Pimephales promelas [J].
Kahn, Iiris ;
Maran, Uko ;
Benfenati, Emilio ;
Netzeva, Tatiana I. ;
Schultz, T. Wayne ;
Cronins, Mark T. D. .
ATLA-ALTERNATIVES TO LABORATORY ANIMALS, 2007, 35 (01) :15-24
[7]   QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS IN FISH TOXICITY STUDIES .1. RELATIONSHIP FOR 50 INDUSTRIAL POLLUTANTS [J].
KONEMANN, H .
TOXICOLOGY, 1981, 19 (03) :209-221
[8]   MUTAGENICITIES OF QUINOLINE AND ITS DERIVATIVES [J].
NAGAO, M ;
YAHAGI, T ;
SEINO, Y ;
SUGIMURA, T ;
ITO, N .
MUTATION RESEARCH, 1977, 42 (03) :335-342
[9]   Discriminating toxicant classes by mode of action - 1. (Eco)toxicity profiles [J].
Nendza, Monika ;
Wenzel, Andrea .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2006, 13 (03) :192-203
[10]   Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships - The report and recommendations of ECVAM Workshop 52 [J].
Netzeva, TI ;
Worth, AP ;
Aldenberg, T ;
Benigni, R ;
Cronin, MTD ;
Gramatica, P ;
Jaworska, JS ;
Kahn, S ;
Klopman, G ;
Marchant, CA ;
Myatt, G ;
Nikolova-Jeliazkova, N ;
Patlewicz, GY ;
Perkins, R ;
Roberts, DW ;
Schultz, TW ;
Stanton, DT ;
van de Sandt, JJM ;
Tong, WD ;
Veith, G ;
Yang, CH .
ATLA-ALTERNATIVES TO LABORATORY ANIMALS, 2005, 33 (02) :155-173