losartan model

This repository provides the losartan physiologically based pharmacokinetics (PBPK) model.

The model is distributed in SBML format available from losartan_body_flat.xml with corresponding SBML4humans model report and model equations.

The COMBINE archive is available from losartan_model.omex. The FAIR assessment is available from losartan_model_fair.xlsx.

Comp submodels

• liver submodel losartan_liver.xml with SBML4humans report and equations.
• kidney submodel losartan_kidney.xml with SBML4humans report and equations.
• intestine submodel losartan_intestine.xml with SBML4humans report and equations.
• whole-body submodel losartan_body.xml with SBML4humans report and equations.
• raas submodel losartan_raas.xml with SBML4humans report and equations.

How to cite

To cite the model repository

Tensil, E., Myshkina, M. & König, M. (2026). Physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model of losartan.
Zenodo. https://doi.org/10.5281/zenodo.14761114

To cite the main publication

Ennie Tensil, Mariia Myshkina, Matthias König A Digital Twin of the Angiotensin II Receptor Blocker Losartan: Physiologically Based Modeling of Blood Pressure Regulation Pharmaceutics 2026, 18(2), 262; doi:10.3390/pharmaceutics18020262.

To cite the reproducibility publication

Mariia Myshkina, Michelle Elias, Ennie Tensil, Matthias König Reproducibility of a Digital Twin of the Angiotensin II Receptor Blocker Losartan Physiome. February 2, 2026 (publication). doi:10.36903/physiome.31359823

License

• Source Code: MIT
• Documentation: CC BY-SA 4.0
• Models: CC BY-SA 4.0

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Run simulations

python

Clone the repository

git clone https://github.com/matthiaskoenig/losartan-model.git
cd losartan-model

uv

Setup environment with uv (https://docs.astral.sh/uv/getting-started/installation/)

uv sync

Run the complete analysis:

uv run run_losartan -a all -r results

pip

If you use pip install the package via

pip install -e .

Run the complete analysis in the environment via:

run run_losartan -a all -r results

docker

Simulations can also be run within a docker container:

docker run -v "${PWD}/results:/results" -it matthiaskoenig/losartan:latest /bin/bash

Run the complete analysis:

uv run run_losartan -a all -r /results

The results are written into the mounted /results folder on the host.

In case of permission issues with the mounted folder, adjust ownership and access rights with:

sudo chown $(id -u):$(id -g) -R "${PWD}/results"
sudo chmod 775 "${PWD}/results"

Funding

Matthias König was supported by the Federal Ministry of Research, Technology and Space (BMFTR, Germany) within ATLAS by grant number 031L0304B and by the German Research Foundation (DFG) within the Research Unit Program FOR 5151 QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection - A Systems Medicine Approach) by grant number 436883643 and by grant number 465194077 (Priority Programme SPP 2311, Subproject SimLivA). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A537B, 031A533A, 031A538A, 031A533B, 031A535A, 031A537C, 031A534A, 031A532B). Mariia Myshkina was supported by the Federal Ministry of Research, Technology and Space (BMFTR, Germany) within ATLAS by grant number 031L0304B and by the German Research Foundation (DFG) within Priority Programme SPP 2311 by grant number 465194077 (Subproject SimLivA).

© 2024-2026 Ennie Tensil, Mariia Myshkina & Matthias König, Systems Medicine of the Liver