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This project repository is connected to the journal article ‘A Novel Multi-Species Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment’ by Mangold-Döring et al. 2021. The key element of this repository is the Jupyter Notebook with the model code (Multi-species-PBTK-model.ipynb), in which you will find a more detailed descripti…

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multi-species-PBTK

This project repository is connected to the journal article ‘A Novel Multi-Species Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment’ by Mangold-Döring et al. 2021 (https://doi.org/10.1021/acs.est.1c02055). The key element of this repository is the Jupyter Notebook with the model code (Multi-species-PBTK-model.ipynb), in which you will find a more detailed description of instructions and its function.
Furthermore, this repository contains:

Derive-parameter-distributions.ipynb : Jupyter notebook to derive statistical underlying parameter distributions

distribution_fitting.py : Module for fitting the statistical underlying distributions

mySQL_PBTK.py : Module to load data out of the mySQL database

config_PBTK.ini : Configuration file for Python-mySQL connector used in mySQL_PBTK.py

pbtk-fishbase.sql : Database of physiological parameters of freshwater fish found in Canada

Dependencies: (Latest versions tested)

Package Version
numpy 1.16.2
pandas 0.24.2
scipy 1.2.1
seaborn 0.9.0
progressbar 2.5
statsmodels 0.9.0

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This project repository is connected to the journal article ‘A Novel Multi-Species Toxicokinetic Modeling Approach in Support of Chemical Risk Assessment’ by Mangold-Döring et al. 2021. The key element of this repository is the Jupyter Notebook with the model code (Multi-species-PBTK-model.ipynb), in which you will find a more detailed descripti…

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