HTTK R Package v1.5 - Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability

Metadata Updated: May 2, 2021

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.envint.2017.06.004
https://www.sciencedirect.com/science/article/pii/S0160412017301204?via%3Dihub
https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc1.xlsx
https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc2.docx

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date May 2, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date May 2, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier Unknown
Maintainer
Identifier https://doi.org/10.23719/1390268
Data Last Modified 2017-03-03
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 9f24f55c-7661-4291-ae9a-0d1e30f71665
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:095
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.envint.2017.06.004, https://www.sciencedirect.com/science/article/pii/S0160412017301204?via%3Dihub, https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc1.xlsx, https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc2.docx
Source Datajson Identifier True
Source Hash d3bd0878196749e0dac1510e6734f6c7b5013a2b
Source Schema Version 1.1

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