Definition of the Applicability Domains of Knowledge-based Predictive Toxicology Expert Systems by Using a Structural Fragment-based Approach

被引:15
作者
Ellison, Claire M. [1 ]
Enoch, Steven J. [1 ]
Cronin, Mark T. D. [1 ]
Madden, Judith C. [1 ]
Judson, Philip [2 ]
机构
[1] Liverpool John Moores Univ, Sch Pharm & Chem, Liverpool L3 3AF, Merseyside, England
[2] Lhasa Ltd, Leeds, W Yorkshire, England
来源
ATLA-ALTERNATIVES TO LABORATORY ANIMALS | 2009年 / 37卷 / 05期
关键词
applicability domain; chemical fragments; Derek for Windows; expert systems; (Q)SAR systems; structural alerts; ALTERNATIVE METHODS; SKIN IRRITATION; QSAR MODELS; RULES; VALIDATION; CHEMICALS; PRINCIPLES; TOXICITY; (Q)SARS; TOOL;
D O I
10.1177/026119290903700510
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The applicability domain of a (quantitative) structure-activity relationship ([Q]SAR) must be defined, if a model is to be used successfully for toxicity prediction, particularly for regulatory purposes. Previous efforts to set guidelines on the definition of applicability domains have often been biased toward quantitative, rather than qualitative, models. As a result, novel techniques are still required to define the applicability domains of structural alert models and knowledge-based systems. By using Derek for Windows as an example, this study defined the domain for the skin sensitisation structural alert rule-base. This was achieved by fragmenting the molecules within a training set of compounds, then searching the fragments for those created from a test compound. This novel method was able to highlight test chemicals which differed from those in the training set. The information was then used to designate chemicals as being either within or outside the domain of applicability for the structural alert on which that training set was based.
引用
收藏
页码:533 / 545
页数:13
相关论文
共 33 条
[1]   AN EXPERT-SYSTEM RULEBASE FOR IDENTIFYING CONTACT ALLERGENS [J].
BARRATT, MD ;
BASKETTER, DA ;
CHAMBERLAIN, M ;
ADMANS, GD ;
LANGOWSKI, JJ .
TOXICOLOGY IN VITRO, 1994, 8 (05) :1053-1060
[2]   Assessment of molecular similarity from the analysis of randomly generated structural fragment populations [J].
Batista, Jose ;
Godden, Jeffrey W. ;
Bajorath, Juergen .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2006, 46 (05) :1937-1944
[3]  
*CHEMAXON KFT, 2003, MOL FIL CONV MOLCONV
[4]  
Cronin M T, 1994, SAR QSAR Environ Res, V2, P159, DOI 10.1080/10629369408029901
[5]   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
[6]   Classification of chemicals according to mechanism of aquatic toxicity: An evaluation of the implementation of the Verhaar scheme in Toxtree [J].
Enoch, S. J. ;
Hewitt, M. ;
Cronin, M. T. D. ;
Azam, S. ;
Madden, J. C. .
CHEMOSPHERE, 2008, 73 (03) :243-248
[7]  
*EX EUR CHEM BUR, 2008, TOXM DOWNL AR
[8]  
*EX EUR CHEM BUR, 2008, TOXTR DOWNL AR
[9]   Compilation of historical local lymph node data for evaluation of skin sensitization alternative methods [J].
Gerberick, GF ;
Ryan, CA ;
Kern, PS ;
Schlatter, H ;
Dearman, RJ ;
Kimber, I ;
Patlewicz, GY ;
Basketter, DA .
DERMATITIS, 2005, 16 (04) :157-202
[10]   Development of a decision support system for the introduction of alternative methods into local irritancy/corrosivity testing strategies. Creation of fundamental rules for a decision support system [J].
Gerner, I ;
Zinke, S ;
Graetschel, G ;
Schlede, E .
ATLA-ALTERNATIVES TO LABORATORY ANIMALS, 2000, 28 (05) :665-698