ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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wetenschappelijk artikel

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наукова стаття, опублікована в березні 2013

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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P1476

ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling

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P2093

Ann M. Richard

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Keith A. Houck

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Matthew T. Martin

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Richard S. Judson

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P2860

Ligand binding assays at equilibrium: validation and interpretation

Pathguide: a pathway resource list

Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment

Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure

Simulating microdosimetry in a virtual hepatic lobule

The druggable genome

Pharmaceuticals, hormones, and other organic wastewater contaminants in U.S. streams, 1999-2000: a national reconnaissance

Predictive model of rat reproductive toxicity from ToxCast high throughput screening.

High concordance of drug-induced human hepatotoxicity with in vitro cytotoxicity measured in a novel cell-based model using high content screening.

Quantitative high-throughput screening: a titration-based approach that efficiently identifies biological activities in large chemical libraries.

P304

1-31

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P31

scholarly article

P356

10.1002/9781118538203.CH1

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P50

David M. Reif

Imran Shah

P577

2013-03-04T00:00:00Z

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