Update on EPA's ToxCast program: providing high throughput decision support tools for chemical risk management.

By R. Kavlock, Kelly J. Chandler, K. Houck, Sid Hunter, Richard S. Judson, N. Kleinstreuer, T. Knudsen, Matt T. Martin, S. Padilla, David M. Reif and 4 more. 2012

461 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Christopher M. Grulke
2. Richard S. Judson
3. Kamel Mansouri
4. Antony J. Williams
5. Douglas B. Kell
6. David Broadhurst

In Health, Toxicology and Mutagenesis

1. Richard S. Judson
2. Ann M. Richard

In Small Animals

1. Richard S. Judson
2. Ann M. Richard

Citations in the corpus

• OPERA models for predicting physicochemical properties and environmental fate endpoints (2018, background): “In addition to aiding in prioritization, QSAR models including other calculated descriptors and predicted chemical properties [23, 34] can help overcome difficulties that may arise during in vitro to in vivo extrapolation (IVIVE) or exposure assessment.”
• The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. (2019, methodology): “In the first phase of ToxCast, EPA screened 310 data-rich chemicals, predominantly pesticides, across approximately 700 assay endpoints (Kavlock et al. , 2012).”
• The CompTox Chemistry Dashboard: a community data resource for environmental chemistry (2017, methodology): “NCCT’s ToxCast program [30], and the affiliated multi-agency Tox21 program [31], are engaged in the generation and analysis of in vitro bioassay data for thousands of chemicals evaluated in hundreds of high-throughput and high-content screening (HTS and HCS) assays.”
• Systems Toxicology of Male Reproductive Development: Profiling 774 Chemicals for Molecular Targets and Adverse Outcomes (2015, unknown): “The recent availability of high-throughput screening (HTS) data, quantitative structure-activity relationship (QSAR) models, and systems modeling tools enables mining of toxicity information across a vast chemical landscape (Collins et al. 2008; Kavlock et al. 2012; NRC 2007; Sturla et al. 2014).”
• Toxicity Testing in the 21st Century Beyond Environmental Chemicals (2015, background): “Phase I of ToxCast mainly studied pesticides, while Phase II covered a much broader area of chemical space (Kavlock et al., 2012).”
• EDC-2: The Endocrine Society's Second Scientific Statement on Endocrine-Disrupting Chemicals. (2015, background): “The US EPA Toxicity Forecaster (ToxCast) and theToxicityTesting in the21stCentury (Tox21) (158, 159) are two federally funded efforts that have the potential to prioritize chemicals for potential human health effects.”
• Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor. (2015, methodology): “These 18 in vitro assays are a subset of a larger collection of assays (821 individual assay endpoints) used in the EPA ToxCast program (Dix et al. , 2007; Judson et al. , 2010; Kavlock et al. , 2012).”