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Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways

Environment international, 2020-05, Vol.138, p.105673-105673, Article 105673

2020

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Overview of Chronic Oral Toxicity Values for Chemicals Present in Hydraulic Fracturing Fluids, Flowback, and Produced Waters

Environmental science & technology, 2016-05, Vol.50 (9), p.4788-4797

2016

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Comment on "Application of an in Vitro Assay to Identify Chemicals That Increase Estradiol and Progesterone Synthesis and Are Potential Breast Cancer Risk Factors"

Environmental health perspectives, 2022-05, Vol.130 (5), p.58002-58002

2022

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Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment

Environmental toxicology and chemistry, 2019-09, Vol.38 (9), p.1850-1865

2019

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Understanding and overcoming the technical challenges in using in silico predictions in regulatory decisions of complex toxicological endpoints – A pesticide perspective for regulatory toxicologists with a focus on machine learning models

Regulatory toxicology and pharmacology, 2023-01, Vol.137, p.105311-105311, Article 105311

2023

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The physiological and biochemical basis of potency thresholds modeled using human estrogen receptor alpha: implications for identifying endocrine disruptors

Archives of toxicology, 2024-06, Vol.98 (6), p.1795-1807

2024

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The database makes the poison: How the selection of datasets in QSAR models impacts toxicant prediction of higher tier endpoints

Regulatory toxicology and pharmacology, 2024-08, Vol.151, p.105663, Article 105663

2024

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Kinetically-derived maximal dose (KMD) indicates lack of human carcinogenicity of ethylbenzene

Archives of toxicology, 2024-01, Vol.98 (1), p.327-334

2024

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A novel approach to calculating the kinetically derived maximum dose

Archives of toxicology, 2022-03, Vol.96 (3), p.809-816

2022

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Can data science inform environmental justice and community risk screening for type 2 diabetes?

PloS one, 2015-04, Vol.10 (4), p.e0121855-e0121855

2015

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A framework for the next generation of risk science

Environmental health perspectives, 2014-08, Vol.122 (8), p.796-805

2014

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A decision analysis framework for estimating the potential hazards for drinking water resources of chemicals used in hydraulic fracturing fluids

The Science of the total environment, 2017-01, Vol.574, p.1544-1558

2017

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Differences in TCDD-elicited gene expression profiles in human HepG2, mouse Hepa1c1c7 and rat H4IIE hepatoma cells

BMC genomics, 2011-04, Vol.12 (1), p.193-193, Article 193

2011

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Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

Risk analysis, 2020-03, Vol.40 (3), p.512-523

2020

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Estimating the Potential Toxicity of Chemicals Associated with Hydraulic Fracturing Operations Using Quantitative Structure–Activity Relationship Modeling

Environmental science & technology, 2016-07, Vol.50 (14), p.7732-7742

2016

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Plastids Are Major Regulators of Light Signaling in Arabidopsis

Plant physiology (Bethesda), 2012-05, Vol.159 (1), p.366-390

2012

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A Market-Basket Approach to Predict the Acute Aquatic Toxicity of Munitions and Energetic Materials

Bulletin of environmental contamination and toxicology, 2016-06, Vol.96 (6), p.779-783

Burgoon, Lyle D.

2016

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Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology

Regulatory toxicology and pharmacology, 2021-10, Vol.125, p.105020-105020, Article 105020

2021

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Hypoxia-inducible factor-1α regulates the expression of genes in hypoxic hepatic stellate cells important for collagen deposition and angiogenesis

Liver international, 2011-02, Vol.31 (2), p.230-244

2011

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Introducing WikiPathways as a Data-Source to Support Adverse Outcome Pathways for Regulatory Risk Assessment of Chemicals and Nanomaterials

Frontiers in genetics, 2018, Vol.9, p.661

2018

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Comparative Toxicogenomic Analysis of the Hepatotoxic Effects of TCDD in Sprague Dawley Rats and C57BL/6 Mice

Toxicological sciences, 2006-12, Vol.94 (2), p.398-416

2006

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Using In Vitro High‐Throughput Screening Data for Predicting Benzo[k]Fluoranthene Human Health Hazards

Risk analysis, 2017-02, Vol.37 (2), p.280-290

2017

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Systematic Omics Analysis Review (SOAR) tool to support risk assessment

PloS one, 2014-12, Vol.9 (12), p.e110379

2014

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Molecular target sequence similarity as a basis for species extrapolation to assess the ecological risk of chemicals with known modes of action

Aquatic toxicology, 2013-11, Vol.144-145, p.141-154

2013

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Burst and principal components analyses of MEA data for 16 chemicals describe at least three effects classes

Neurotoxicology (Park Forest South), 2014, Vol.40, p.75-85

2014

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Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways

Overview of Chronic Oral Toxicity Values for Chemicals Present in Hydraulic Fracturing Fluids, Flowback, and Produced Waters

Comment on "Application of an in Vitro Assay to Identify Chemicals That Increase Estradiol and Progesterone Synthesis and Are Potential Breast Cancer Risk Factors"

Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment

Understanding and overcoming the technical challenges in using in silico predictions in regulatory decisions of complex toxicological endpoints – A pesticide perspective for regulatory toxicologists with a focus on machine learning models

The physiological and biochemical basis of potency thresholds modeled using human estrogen receptor alpha: implications for identifying endocrine disruptors

The database makes the poison: How the selection of datasets in QSAR models impacts toxicant prediction of higher tier endpoints

Kinetically-derived maximal dose (KMD) indicates lack of human carcinogenicity of ethylbenzene

A novel approach to calculating the kinetically derived maximum dose

Can data science inform environmental justice and community risk screening for type 2 diabetes?

A framework for the next generation of risk science

A decision analysis framework for estimating the potential hazards for drinking water resources of chemicals used in hydraulic fracturing fluids

Differences in TCDD-elicited gene expression profiles in human HepG2, mouse Hepa1c1c7 and rat H4IIE hepatoma cells

Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

Estimating the Potential Toxicity of Chemicals Associated with Hydraulic Fracturing Operations Using Quantitative Structure–Activity Relationship Modeling

Plastids Are Major Regulators of Light Signaling in Arabidopsis

A Market-Basket Approach to Predict the Acute Aquatic Toxicity of Munitions and Energetic Materials

Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology

Hypoxia-inducible factor-1α regulates the expression of genes in hypoxic hepatic stellate cells important for collagen deposition and angiogenesis

Introducing WikiPathways as a Data-Source to Support Adverse Outcome Pathways for Regulatory Risk Assessment of Chemicals and Nanomaterials

Comparative Toxicogenomic Analysis of the Hepatotoxic Effects of TCDD in Sprague Dawley Rats and C57BL/6 Mice

Using In Vitro High‐Throughput Screening Data for Predicting Benzo[k]Fluoranthene Human Health Hazards

Systematic Omics Analysis Review (SOAR) tool to support risk assessment

Molecular target sequence similarity as a basis for species extrapolation to assess the ecological risk of chemicals with known modes of action

Burst and principal components analyses of MEA data for 16 chemicals describe at least three effects classes

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