External validation of structure-biodegradation relationship (SBR) models for predicting the biodegradability of xenobiotics

被引:8
作者
Devillers, J. [1 ]
Pandard, P. [2 ]
Richard, B. [3 ]
机构
[1] CTIS, Rillieux La Pape, France
[2] INERIS, Verneuil En Halatte, France
[3] LNHE, EDF R&D, Chatou, France
关键词
biodegradation; QSBR; SBR; Biowin; external validation; linear and nonlinear models; QSAR APPLICATION TOOLBOX; TOXICITY; TOXTREE; MUTAGENICITY; REACTIVITY; CHEMICALS; RANKING; SET;
D O I
10.1080/1062936X.2013.848632
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Biodegradation is an important mechanism for eliminating xenobiotics by biotransforming them into simple organic and inorganic products. Faced with the ever growing number of chemicals available on the market, structure-biodegradation relationship (SBR) and quantitative structure-biodegradation relationship (QSBR) models are increasingly used as surrogates of the biodegradation tests. Such models have great potential for a quick and cheap estimation of the biodegradation potential of chemicals. The Estimation Programs Interface (EPI) Suite includes different models for predicting the potential aerobic biodegradability of organic substances. They are based on different endpoints, methodologies and/or statistical approaches. Among them, Biowin 5 and 6 appeared the most robust, being derived from the largest biodegradation database with results obtained only from the Ministry of International Trade and Industry (MITI) test. The aim of this study was to assess the predictive performances of these two models from a set of 356 chemicals extracted from notification dossiers including compatible biodegradation data. Another set of molecules with no more than four carbon atoms and substituted by various heteroatoms and/or functional groups was also embodied in the validation exercise. Comparisons were made with the predictions obtained with START (Structural Alerts for Reactivity in Toxtree). Biowin 5 and Biowin 6 gave satisfactorily prediction results except for the prediction of readily degradable chemicals. A consensus model built with Biowin 1 allowed the diminution of this tendency.
引用
收藏
页码:979 / 993
页数:15
相关论文
共 64 条
  • [1] A model validation and consensus building environment
    Abshear, T.
    Banik, G. M.
    D'Souza, M. L.
    Nedwed, K.
    Peng, C.
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2006, 17 (03) : 311 - 321
  • [2] [Anonymous], 1996, Genetic Algorithms in Molecular Modeling, DOI DOI 10.1016/B978-012213810-2/50013-X
  • [3] [Anonymous], 1992, Test No. 301: Ready Biodegradability
  • [4] OECD guidelines for the testing of chemicals, DOI [DOI 10.1787/9789264070349-EN, 10.1787/9789264070349-en]
  • [5] [Anonymous], 1997, SAR QSAR Environ. Res., DOI DOI 10.1080/10629369708039131
  • [6] [Anonymous], 2008, STAT STRUCT AL REACT
  • [7] QSAR analysis of the toxicity of nitroaromatics in Tetrahymena pyriformis: structural factors and possible modes of action
    Artemenko, A. G.
    Muratov, E. N.
    Kuz'min, V. E.
    Muratov, N. N.
    Varlamova, E. V.
    Kuz'mina, A. V.
    Gorb, L. G.
    Golius, A.
    Hill, F. C.
    Leszczynski, J.
    Tropsha, A.
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2011, 22 (5-6) : 575 - 601
  • [8] Performance of (consensus) kNN QSAR for predicting estrogenic activity in a large diverse set of organic compounds
    Asikainen, AH
    Ruuskanen, J
    Tuppurainen, KA
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2004, 15 (01) : 19 - 32
  • [9] Reactivity and aquatic toxicity of aromatic compounds transformable to quinone-type Michael acceptors
    Bajot, F.
    Cronin, M. T. D.
    Roberts, D. W.
    Schultz, T. W.
    [J]. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2011, 22 (1-2) : 51 - 65
  • [10] A methodology for ranking and hazard identification of xenobiotic organic compounds in urban stormwater
    Baun, A.
    Eriksson, E.
    Ledin, A.
    Mikkelsen, P. S.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2006, 370 (01) : 29 - 38