QSAR Study of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls using the Heuristic Method and Support Vector Machine
Author:
Publisher
Wiley
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery
Reference36 articles.
1. 2,3,7,8-Tetrachlorodibenzo-p-Dioxin and Related Halogenated Aromatic Hydrocarbons: Examination of the Mechanism of Toxicity
2. Polychlorinated Biphenyls (PCBs), Dibenzo-p-Dioxins (PCDDs), Dibenzofurans (PCDFs), and Related Compounds: Environmental and Mechanistic Considerations Which Support the Development of Toxic Equivalency Factors (TEFs)
3. Polychlorinated dibenzofurans (PCDFs): Effects of structure on binding to the 2,3,7,8-TCDD cytosolic receptor protein, AHH induction and toxicity
4. Polychlorinated dibenzo-p-dioxins: Quantitative in vitro and in vivo structure-activity relationships
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2. Molecular Polarization Potential as a Molecular Descriptor to Predict Biological Activity of Dioxins and Dibenzofurans;Molecular Informatics;2016-10
3. Chemometrics tools in QSAR/QSPR studies: A historical perspective;Chemometrics and Intelligent Laboratory Systems;2015-12
4. Prediction of the binary surface tension of mixtures containing ionic liquids using Support Vector Machine algorithms;Journal of Molecular Liquids;2015-11
5. Consensus Toxicity Factors for Polychlorinated Dibenzo-p-dioxins, Dibenzofurans, and Biphenyls Combining in Silico Models and Extensive in Vitro Screening of AhR-Mediated Effects in Human and Rodent Cells;Chemical Research in Toxicology;2015-02-13
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