Toxmatch-A chemical classification and activity prediction tool based on similarity measures

被引:26
作者
Gallegos-Saliner, Ana [1 ,2 ]
Poater, Albert [1 ,3 ]
Jeliazkova, Nina [4 ]
Patlewicz, Grace [2 ,5 ]
Worth, Andrew P. [2 ]
机构
[1] Univ Girona, Inst Quim Computac, Girona 17071, Spain
[2] Joint Res Ctr European Commiss, Inst Hlth & Consumer Protect, I-21027 Ispra, VA, Italy
[3] Univ Salerno, Dipartmento Chim, I-84084 Fisciano, SA, Italy
[4] Ideaconsult Ltd, Sofia, Bulgaria
[5] DuPont Global Ctr Hlth & Environm Sci, Newark, DE 19711 USA
关键词
QSAR; Chemical categories; Read across; Chemical similarity; Skin irritation and corrosion;
D O I
10.1016/j.yrtph.2008.05.012
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
Chemical similarity forms the underlying basis for the development of (Quantitative) Structure-Activity Relationships ((Q)SARs), expert systems and chemical groupings. Recently a new software tool to facilitate chemical similarity calculations named Toxmatch was developed. Toxmatch encodes a number of similarity indices to help in the systematic development of chemical groupings, including endpoint specific groupings and read-across, and the comparison of model training and test sets. Two rule-based classification schemes were additionally implemented, namely: the Verhaar scheme for assigning mode of action for aquatic toxicants and the BfR rulebase for skin irritation and corrosion. In this study, a variety of different descriptor-based similarity indices were used to evaluate and compare the BfR training set with respect to its test set. The descriptors utilised in this comparison were the same as those used to derive the original BfR rules i.e. the descriptors selected were relevant for skin irritation/corrosion. The Euclidean distance index was found to be the most predictive of the indices in assessing the performance of the rules. (C) 2008 Elsevier Inc. All rights reserved.
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页码:77 / 84
页数:8
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