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Assessment of quantitative structure-activity relationship of toxicity prediction models for Korean chemical substance control legislation
Kwang-Yon Kim, Seong Eun Shin, Kyoung Tai No
Environ Anal Health Toxicol. 2015;30 Suppl:s2015007  Published online 2015 June 12    DOI: https://doi.org/10.5620/eht.s2015007

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Prediction of Terpenoid Toxicity Based on a Quantitative Structure–Activity Relationship Model
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Assessment of developmental toxicity potential of chemicals by quantitative structure-toxicity relationship models
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Quantitative Structure-Activity Relationship (QSAR) Models, Physiologically Based Pharmacokinetic (PBPK) Models, Biologically Based Dose Response (BBDR) and Toxicity Pathways
Computational Toxicology. 2013;5-21   Crossref logo
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Introductory Chapter: Some Quantitative Structure Activity Relationship Descriptor
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Prediction of Mammalian Toxicity by Quantitative Structure Activity Relationships: Aliphatic Amines and Anilines
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Quantitative structure–activity relationship methods for the prediction of the toxicity of pollutants
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Prediction of Toxicity of Phenols and Anilines to Algae by Quantitative Structure-activity Relationship
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Quantitative structure–activity relationship for prediction of the toxicity of polybrominated diphenyl ether (PBDE) congeners
Chemosphere. 2006;64(4):515-524   Crossref logo
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Quantitative structure-activity relationship and prediction of mixture toxicity of alkanols
Chinese Science Bulletin. 2006;51(22):2717-2723   Crossref logo
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Prediction of nitrobenzene toxicity to the algae (Scenedesmus obliguus) by quantitative structure–toxicity relationship (QSTR) models with quantum chemical descriptors
Environmental Toxicology and Pharmacology. 2012;33(1):39-45   Crossref logo
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