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Updated: Jul 15, 2026

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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Quantitative structure-activity relationships for predicting the joint toxicity of substituted anilines and phenols
1Key Laboratory for Integrated Regulation and Resources Development on Shallow Lakes, Ministry of Education, College of Environmental Science and Engineering, Hohai University, Nanjing, 210098 People's Republic of China.
Bulletin of Environmental Contamination and Toxicology
|April 7, 2007
Abstract
No abstract available in PubMed .
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