EPA Environmental Dataset Gateway


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Title: HTTK R Package v1.5 - Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability
Abstract: httk: High-Throughput Toxicokinetics Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based ("PBTK") and empirical (e.g., one compartment) "TK" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting "PBTK" models to "SBML" and "JARNAC" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK"). This dataset is associated with the following publication: Ring, C., R. Pearce, W. Setzer, B. Wetmore, and J. Wambaugh. (Environment International) Refining high-throughput prioritization of environmental chemicals to include inter-individual variability across subpopulations. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 106: 105-118, (2017).
File Identifier: https://doi.org/10.23719/1390268
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Distribution Title https://cran.r-project.org/web/packages/httk/index.html
Access URL https://cran.r-project.org/web/packages/httk/index.html
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Access Level: Public
License: https://pasteur.epa.gov/license/sciencehub-license.html
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Date Modified: 2017-03-03
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Organization: U.S. EPA Office of Research and Development (ORD)
Contact Person: John Wambaugh
Email: wambaugh.john@epa.gov
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Related Documents: http://dx.doi.org/10.1016/j.envint.2017.06.004, http://www.sciencedirect.com/science/article/pii/S0160412017301204?via%3Dihub, http://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc1.xlsx, http://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc2.docx