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https://github.com/matthiaskoenig/pkpd-course

PK/PD Tutorial
https://github.com/matthiaskoenig/pkpd-course

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PK/PD Tutorial

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pkpd-course: A python introduction to PK/PD models
===================================================
Matthias König, `https://livermetabolism.com `__

The introductory lecture is available here

.. image:: ./presentation/presentation.png
:target: https://docs.google.com/presentation/d/e/2PACX-1vQG8vtoCVWW3yOQFczrevLZmluhHrKpGVztJho-SY-nbTis8XNYNQyZ3src6AkrL5n3Sv2F6tlL3Fyu/pub?start=false&loop=false&delayms=3000

This course provides resources for a simple introduction to PK/PD models
using a `caffeine` physiological-based whole body model.

The course contains the following information::

./notebooks: tutorial notebooks
./presentation: introductory presentation
./literature: relevant literature

Installation
============
We need an environment with the libraries listed in `requirements.txt`
These are standard python libraries and `libroadrunner` for simulation of SBML models.

Conda
-----
The easiest way to use this tutorial is to use conda/bioconda.

After installation add the additional library `libroadrunner` via::

pip install libroadrunner

Virtualenv
----------

One possible solution is to setup a virtual environment with all system dependencies.

Create a virtual environment via::

mkvirtualenv pkpd-course

Install requirements::

(pkpd-course) pip install -r requirements.txt --upgrade
(pkpd-course) pip install ipykernel jupyterlab

Register the virtualenv as a kernel::

python -m ipykernel install --user --name pkpd-course

Funding
=======
Matthias König is supported by the Federal Ministry of Education and Research (BMBF, Germany)
within the research network Systems Medicine of the Liver (**LiSyM**, grant number 031L0054),
by the German Research Foundation (DFG) within the Research Unit
Programme FOR 5151 "QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex
Resection - A Systems Medicine Approach)" by grant number 436883643 and by grant no. 465194077
(Priority Programme SPP 2311, Subproject SimLivA).

License
=======

* Source Code: `LGPLv3 `__
* Documentation: `CC BY-SA 4.0 `__

© 2018-2022 Matthias König