Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
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Low-Dose Mixture Hypothesis of Carcinogenesis Workshop: Scientific Underpinnings and Research RecommendationsEditor's Highlight: Screening ToxCast Prioritized Chemicals for PPARG Function in a Human Adipose-Derived Stem Cell Model of AdipogenesisEditor's Highlight: Development of an In vitro Assay Measuring Uterine-Specific Estrogenic Responses for Use in Chemical Safety AssessmentA predictive data-driven framework for endocrine prioritization: a triazole fungicide case studyBibliometrics for Social Validation.Integrating Publicly Available Data to Generate Computationally Predicted Adverse Outcome Pathways for Fatty Liver.Evaluation of OASIS QSAR Models Using ToxCast™ in Vitro Estrogen and Androgen Receptor Binding Data and Application in an Integrated Endocrine Screening Approach.Development and Validation of a Computational Model for Androgen Receptor ActivityReal-time cell toxicity profiling of Tox21 10K compounds reveals cytotoxicity dependent toxicity pathway linkage.Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.Tiered High-Throughput Screening Approach to Identify Thyroperoxidase Inhibitors Within the ToxCast Phase I and II Chemical Libraries.Combination of multiple neural crest migration assays to identify environmental toxicants from a proof-of-concept chemical library.Advances in the Development and Validation of Test Methods in the United States.A Curated Database of Rodent Uterotrophic Bioactivity.Moving Toward Integrating Gene Expression Profiling Into High-Throughput Testing: A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray CompendiumOn the Utility of ToxCast™ and ToxPi as Methods for Identifying New Obesogens.Comment on "On the Utility of ToxCast™ and ToxPi as Methods for Identifying New Obesogens".How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.Predicting organ toxicity using in vitro bioactivity data and chemical structure.Multiple receptors shape the estrogen response pathway and are critical considerations for the future of in vitro-based risk assessment efforts.The ascendance of microphysiological systems to solve the drug testing dilemma.A comprehensive review of regulatory test methods for endocrine adverse health effects.FutureTox III: Bridges for Translation.Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes.Evolving the Principles and Practice of Validation for New Alternative Approaches to Toxicity Testing.Hypothesis-driven weight-of-evidence analysis of endocrine disruption potential: a case study with triclosan.In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.Challenges in assigning endocrine-specific modes of action: Recommendations for researchers and regulators.Current limitations and recommendations to improve testing for the environmental assessment of endocrine active substances.Boric Acid Is Reproductively Toxic to Adult Xenopus laevis, but Not Endocrine Active.Evaluation of the scientific underpinnings for identifying estrogenic chemicals in nonmammalian taxa using mammalian test systems.Policy reforms to update chemical safety testing.Has Toxicity Testing Moved into the 21st Century? A Survey and Analysis of Perceptions in the Field of Toxicology.The unsteady state and inertia of chemical regulation under the US Toxic Substances Control Act.High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis.Application of Adverse Outcome Pathways to U.S. EPA's Endocrine Disruptor Screening Program.In vitro to in vivo benchmark dose comparisons to inform risk assessment of quantum dot nanomaterials.On selecting a minimal set of in vitro assays to reliably determine estrogen agonist activity.The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.Transcriptomic and phenotypic profiling in developing zebrafish exposed to thyroid hormone receptor agonists.
P2860
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P2860
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
@wuu
2015年学术文章
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2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
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2015年學術文章
@zh-hant
name
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
@en
type
label
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
@en
prefLabel
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
@en
P50
P356
P1476
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model.
@en
P2093
Patience Browne
Warren M Casey
P304
P356
10.1021/ACS.EST.5B02641
P407
P577
2015-06-26T00:00:00Z