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| - Prediction of Noninteractive Mixture Toxicity of Organic CompoundsBased on a Fuzzy Set Method
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| - Current methods for the prediction of mixture toxicity have shown to be valid for mixtures that conform tosome assumptions that were ideally formulated for mixtures comprising constituents exhibiting eithercompletely similar or dissimilar mechanisms of action. Approaches are needed that predict the toxicity ofmixtures representative of real environmental occurrences i.e., those comprising constituents of mixed similarand dissimilar compounds and therefore are more complex. In this paper such a methodology is proposedwhich uses molecular descriptors and fuzzy set theory to characterize the degree of similarity and dissimilarityof mixture constituents, integrates the concentration addition and independent action models, and thereforeis called INFCIM (INtegrated Fuzzy Concentration addition − Independent action Model). INFCIM is testedin two case studies using toxicity data of four mixtures, and its performance is compared against those ofboth concentration addition and independent action models. Mixture 1 consists of 18 s-triazines acting ongreen freshwater algae scenedemus vacuolatus. Mixture 2 comprises 16 acting constituents tested onscenedemus vacuolatus. Both mixtures inhibit reproduction in the biological assays. There are 10 quinolonecompounds in mixture 3 and 16 phenol derivative compounds in mixture 4 all causing long-term inhibitionof bioluminescence in the marine bacterium Vibrio fischeri. It was shown that INFCIM performed comparablyor better than the best performing existing model in the original studies for all the mixtures tested.
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