armitage_input

Armitage_input

<p>Parameters for in vitro distribution analysis in Honda et al. (2019)
Honda et al. (2019) (tools:::Rd_expr_doi("10.1371/journal.pone.0217564")) used the
Armitage et al. (2014) (tools:::Rd_expr_doi("10.1021/es501955g")) mass-balance model to 
predict the impact of
in vitro partitioning on free chemical concentrations.</p>

data

High throughput toxicokinetics ("HTTK") is the
combination of 1) chemical-specific in vitro measurements or in
silico predictions and 2) generic mathematical models, to
predict absorption, distribution, metabolism, and excretion by the
body. HTTK methods have been described by Pearce et al. (2017)
(<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>).
Here we provide examples (vignettes) applying HTTK to solve various
problems in bioinformatics, toxicology, and exposure science.
In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>),
whenever a new HTTK model is developed, the code to generate the
figures evaluating that model is added as a new vignettte.

John Wambaugh

httkexamples

High-Throughput Toxicokinetics Examples

Robert Pearce

Caroline Ring

Greg Honda

Matt Linakis

Dustin Kapraun

Kimberly Truong

Meredith Scherer

Annabel Meade

Celia Schacht

Elaina Kenyon

armitage_input function

Format

Parameters for in vitro distribution analysis in Honda et al. (2019)
Honda et al. (2019) (tools:::Rd_expr_doi("10.1371/journal.pone.0217564")) used the
Armitage et al. (2014) (tools:::Rd_expr_doi("10.1021/es501955g")) mass-balance model to 
predict the impact of
in vitro partitioning on free chemical concentrations. — armitage_input

Parameters for in vitro distribution analysis in Honda et al. (2019)
Honda et al. (2019) (tools:::Rd_expr_doi("10.1371/journal.pone.0217564")) used the
Armitage et al. (2014) (tools:::Rd_expr_doi("10.1021/es501955g")) mass-balance model to 
predict the impact of
in vitro partitioning on free chemical concentrations.

Description

Usage

Arguments

Format

References