Literature DB >> 16428130

Base-line model for identifying the bioaccumulation potential of chemicals.

S Dimitrov1, N Dimitrova, T Parkerton, M Comber, M Bonnell, O Mekenyan.   

Abstract

The base-line modeling concept presented in this work is based on the assumption of a maximum bioconcentration factor (BCF) with mitigating factors that reduce the BCF. The maximum bioconcentration potential was described by the multi-compartment partitioning model for passive diffusion. The significance of different mitigating factors associated either with interactions with an organism or bioavailability were investigated. The most important mitigating factor was found to be metabolism. Accordingly, a simulator for fish liver was used in the model, which has been trained to reproduce fish metabolism based on related mammalian metabolic pathways. Other significant mitigating factors, depending on the chemical structure, e.g. molecular size and ionization were also taken into account in the model. The results (r(2)=0.84) obtained for a training set of 511 chemicals demonstrate the usefulness of the BCF base line concept. The predictability of the model was evaluated on the basis of 176 chemicals not used in the model building. The correctness of predictions (abs(logBSF(Obs)-logBCF(Calc))=0.75)) for 59 chemicals included within the model applicability domain was 80%.

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Year:  2005        PMID: 16428130     DOI: 10.1080/10659360500474623

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  7 in total

1.  Classification of bioaccumulative and non-bioaccumulative chemicals using statistical learning approaches.

Authors:  Xiuli Sun; Yan Li; Xianjie Liu; Jun Ding; Yonghua Wang; Hui Shen; Yaqing Chang
Journal:  Mol Divers       Date:  2008-10-21       Impact factor: 2.943

2.  Modeling bioconcentration factor (BCF) using mechanistically interpretable descriptors computed from open source tool "PaDEL-Descriptor".

Authors:  Subrata Pramanik; Kunal Roy
Journal:  Environ Sci Pollut Res Int       Date:  2013-10-30       Impact factor: 4.223

3.  Screening of chemicals for human bioaccumulative potential with a physiologically based toxicokinetic model.

Authors:  Arnaud Tonnelier; Sandra Coecke; José-Manuel Zaldívar
Journal:  Arch Toxicol       Date:  2011-11-17       Impact factor: 5.153

Review 4.  Assessing the bioaccumulation potential of ionizable organic compounds: Current knowledge and research priorities.

Authors:  James M Armitage; Russell J Erickson; Till Luckenbach; Carla A Ng; Ryan S Prosser; Jon A Arnot; Kristin Schirmer; John W Nichols
Journal:  Environ Toxicol Chem       Date:  2016-12-19       Impact factor: 3.742

5.  Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish.

Authors:  Anna Lombardo; Alessandra Roncaglioni; Elena Boriani; Chiara Milan; Emilio Benfenati
Journal:  Chem Cent J       Date:  2010-07-29       Impact factor: 4.215

6.  Workgroup report: review of fish bioaccumulation databases used to identify persistent, bioaccumulative, toxic substances.

Authors:  Anne V Weisbrod; Lawrence P Burkhard; Jon Arnot; Ovanes Mekenyan; Philip H Howard; Christine Russom; Robert Boethling; Yuki Sakuratani; Theo Traas; Todd Bridges; Charles Lutz; Mark Bonnell; Kent Woodburn; Thomas Parkerton
Journal:  Environ Health Perspect       Date:  2006-10-30       Impact factor: 9.031

7.  Prediction of bioconcentration factors in fish and invertebrates using machine learning.

Authors:  Thomas H Miller; Matteo D Gallidabino; James I MacRae; Stewart F Owen; Nicolas R Bury; Leon P Barron
Journal:  Sci Total Environ       Date:  2018-08-10       Impact factor: 7.963

  7 in total

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