• Journal of Environmental Health Sciences
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• v.45 no.5
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• pp.457-464
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• 2019

Objectives: Quantitative structure-activity relationship (QSAR) is one of the effective alternatives to animal testing, but its credibility in terms of toxicity prediction has been questionable. Thus, this work aims to evaluate its predictive capacity and find ways of improving its credibility. Methods: Using $TOPKAT^{(R)}$, OECD toolbox, and $Derek^{(R)}$, all of which have been applied world-wide in the research, industrial, and regulatory fields, an analysis of prediction credibility markers including accuracy (A), sensitivity (S), specificity (SP), false negative (FN), and false positive (FP) was conducted. Results: The multi-application of QSARs elevated the precision credibility relative to individual applications of QSARs. Moreover, we found that the type of chemical structure affects the credibility of markers significantly. Conclusions: The credibility of individual QSAR is insufficient for both the prediction of chemical toxicity and regulation of hazardous chemicals. Thus, to increase the credibility, multi-QSAR application, and compensation of the prediction deviation by chemical structure are required.

• The Korean Journal of Pesticide Science
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• v.6 no.1
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• pp.25-30
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• 2002

Quantitative structure-toxicity relationships (QSTRs) between various physicochemical parameters of substituents in new herbicidal N-phenyl-3,4-dimethylphthalimide derivatives and their discriminate score (DS) for chronic and acute toxicities against mouse and rat evaluated using TOPKAT calculation were discussed quantitatively. From the basis on the findings, it was shown that carcinogenicities of female was higher than that of male and mouse had higher tendency than rat. The STR analyses results of Hansch-Fujita type equations suggested that mouse (female & male) and rat male except rat female are dependent on LUMO energy commonly in carcinogenicity. The selective carcinogenicity factor of two species between male mouse and female mouse is dependent on optimal value (ca. $(L)_{opt.}=5.0{\AA}$) for length of $R_2$-substituent mainly. According to Free-Wilson approach, in the case of rat male, alkyl and aryl substituents were superior and in the other case, contribution of fluoro group substituents were superior to chronic toxicity.

• Korean Journal of Agricultural Science
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• v.28 no.1
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• pp.33-40
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• 2001

The authors attempted to derive a comprehensive quantitative structure-toxicity relationships (QSTRs) between various physicochemical parameters of phenyl substituents in fungicidal phenylthionocarbamate derivatives and toxicity evaluated using TOPKAT calculation. On the basis of this approach we made preditions for toxicity values for not yet tested substances with respect to these systems. The results suggested that the optimal values, $(B_2)_{opt.}=1.54_{\AA}$(Ames mutagenicity), $(R)_{opt.}=0.16$ (car-cinogenicity of male rat), $(\pi)_{opt.)=0.16$ (carcinogenicity of male mouse), $({\varepsilon}LOMO)_{opt}=-0.52e.v.$ ($LD_{50}$ of rat oral), $(B_3){opt.}=1.54_{\AA}$(chronic LOAEU), $(logP)_{opt.}=4.25$ ($LC_{50}$ of Fathead minnow) and $({\sigma})_{opt}=-0.68$ ($EC_{50}$ of Daphnia magna) of phenyl substituents were strongly correlated with the acute and chronic toxicities.