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Publisher : national institute of environmental health sciences
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Academic Journal

Quantitative Structure-Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles.

  • Authors : Huang Y; Key Laboratory of Industrial Ecology and Environmental Engineering, School of Environmental Science and Technology, Dalian University of Technology, Dalian, China.; Li X

Subjects: Quantitative Structure-Activity Relationship*; Metal Nanoparticles/Metal Nanoparticles/Metal Nanoparticles/*toxicity ; Oxides/Oxides/Oxides/*toxicity

  • Source: Environmental health perspectives [Environ Health Perspect] 2020 Jun; Vol. 128 (6), pp. 67010. Date of Electronic Publication: 2020 Jun 12.Publisher: National Institute of Environmental Health Sciences Country of Publication: United States NLM ID: 0330411 Publication

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Academic Journal

Quantitative Structure-Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles.

Subjects: INFLAMMATION; ANIMAL experimentation; BIOCHEMISTRY

  • Source: Environmental Health Perspectives. Jun2020, Vol. 128 Issue 6, p067010-1-067010-13. 13p. 2 Color Photographs, 3 Diagrams, 1 Chart, 3 Graphs.

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Academic Journal

A novel two-step hierarchical quantitative structure-activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents.

  • Authors : Zhu H; Laboratory for Molecular Modeling, Division of Medicinal Chemistry and Natural Products, School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7360, USA.; Ye L

Subjects: Models, Theoretical* ; Quantitative Structure-Activity Relationship*; Toxicity Tests/Toxicity Tests/Toxicity Tests/*methods

  • Source: Environmental health perspectives [Environ Health Perspect] 2009 Aug; Vol. 117 (8), pp. 1257-64. Date of Electronic Publication: 2009 Apr 03.Publisher: National Institute of Environmental Health Sciences Country of Publication: United States NLM ID: 0330411 Publication

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Academic Journal

Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicity.

  • Authors : Zhu H; Carolina Environmental Bioinformatics Research Center, University of North Carolina, Chapel Hill, NC 27599-7360, USA.; Rusyn I

Subjects: Quantitative Structure-Activity Relationship*; Carcinogens, Environmental/Carcinogens, Environmental/Carcinogens, Environmental/*toxicity ; Cell Survival/Cell Survival/Cell Survival/*drug effects

  • Source: Environmental health perspectives [Environ Health Perspect] 2008 Apr; Vol. 116 (4), pp. 506-13.Publisher: National Institute of Environmental Health Sciences Country of Publication: United States NLM ID: 0330411 Publication

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Academic Journal

A Novel Two-Step Hierarchical Quantitative Structure--Activity Relationship Modeling Work Flow for Predicting Acute Toxicity of Chemicals in Rodents.

Subjects: QSAR models; IN vivo toxicity testing; LABORATORY rodents

  • Source: Environmental Health Perspectives. Aug2009, Vol. 117 Issue 8, p1257-1264. 8p. 1 Diagram, 3 Charts, 3 Graphs.

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Academic Journal

Use of Cell Viability Assay Data Improves the Prediction Accuracy of Conventional Quantitative Structure-Activity Relationship Models of Animal Carcinogenicity.

Subjects: CELL lines; QSAR models; TOXICOLOGY

  • Source: Environmental Health Perspectives. Apr2008, Vol. 116 Issue 4, p506-513. 8p. 8 Charts, 1 Graph.

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Academic Journal

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity.

Subjects: ESTROGEN receptors; DECISION trees; ENDOCRINE disruptors

  • Source: Environmental Health Perspectives. Aug2004, Vol. 112 Issue 12, p1249-1254. 6p.

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Use of Cell Viability Assay Data Improves the Prediction Accuracy of Conventional Quantitative Structure–Activity Relationship Models of Animal Carcinogenicity

Subjects: Quantitative structure–activity relationship; computational toxicology; Computer science

  • Source: Environmental Health Perspectives

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Academic Journal

Best Practices for QSAR Model Reporting: Physical and Chemical Properties, Ecotoxicity, Environmental Fate, Human Health, and Toxicokinetics Endpoints.

  • Authors : Piir G; Institute of Chemistry, University of Tartu, Tartu, Estonia.; Kahn I

Subjects: Models, Theoretical* ; Quantitative Structure-Activity Relationship*; Chemical Phenomena

  • Source: Environmental health perspectives [Environ Health Perspect] 2018 Dec; Vol. 126 (12), pp. 126001.Publisher: National Institute of Environmental Health Sciences Country of Publication: United States NLM ID: 0330411 Publication

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Academic Journal

Estimating the Extent of the Health Hazard Posed by High-Production Volume Chemicals.

Subjects: *Chemicals; *Toxicology; *Environmental health

  • Source: Environmental Health Perspectives. Sep2001, Vol. 109 Issue 9, p953. 4p. 1 Chart.

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  • 1-10 of  220 results for ""Structure-Activity Relationship""