https://github.com/matthiaskoenig/pkdb
Pharmacokinetics database
https://github.com/matthiaskoenig/pkdb
Last synced: about 1 month ago
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Pharmacokinetics database
- Host: GitHub
- URL: https://github.com/matthiaskoenig/pkdb
- Owner: matthiaskoenig
- Created: 2018-05-01T19:08:21.000Z (about 7 years ago)
- Default Branch: develop
- Last Pushed: 2024-06-26T18:11:57.000Z (12 months ago)
- Last Synced: 2025-04-20T22:32:32.212Z (about 2 months ago)
- Language: Python
- Homepage: https://alpha.pk-db.com
- Size: 38 MB
- Stars: 34
- Watchers: 6
- Forks: 7
- Open Issues: 64
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://doi.org/10.5281/zenodo.1406979)
[](http://opensource.org/licenses/LGPL-3.0)
Jan Grzegorzewski
and
Matthias König
# PK-DB - a pharmacokinetics database
* [Overview](https://github.com/matthiaskoenig/pkdb#overview)
* [How to cite](https://github.com/matthiaskoenig/pkdb#how-to-cite)
* [License](https://github.com/matthiaskoenig/pkdb#license)
* [Funding](https://github.com/matthiaskoenig/pkdb#funding)
## Overview
[PK-DB](https://pk-db.com) is a database and web interface for pharmacokinetics data and information from clinical trials
as well as pre-clinical research. PK-DB allows to curate pharmacokinetics data integrated with the
corresponding meta-information
- characteristics of studied patient collectives and individuals (age, bodyweight, smoking status, ...)
- applied interventions (e.g., dosing, substance, route of application)
- measured pharmacokinetics time courses and pharmacokinetics parameters (e.g., clearance, half-life, ...).
Important features are
- the representation of experimental errors and variation
- the representation and normalisation of units
- annotation of information to biological ontologies
- calculation of pharmacokinetics information from time courses (apparent clearance, half-life, ...)
- a workflow for collaborative data curation
- strong validation rules on data, and simple access via a REST API
PK-DB is available at https://pk-db.com and https://alpha.pk-db.com. The terms of use are listed in the [`TERMS_OF_USE.md`](./TERMS_OF_USE.md).
## How to cite
If you use PK-DB data or the web interface cite
> Grzegorzewski J, Brandhorst J, Green K, Eleftheriadou D, Duport Y, Barthorscht F, Köller A, Ke DYJ, De Angelis S, König M.
> *PK-DB: pharmacokinetics database for individualized and stratified computational modeling*.
> Nucleic Acids Res. 2020 Nov 5:gkaa990. doi: [10.1093/nar/gkaa990](https://doi.org/10.1093/nar/gkaa990). Epub ahead of print. PMID: [33151297](https://pubmed.ncbi.nlm.nih.gov/33151297/).
If you use PK-DB code cite in addition
[](https://doi.org/10.5281/zenodo.1406979)
## License
PK-DB code and documentation is licensed as
* Source Code: [LGPLv3](http://opensource.org/licenses/LGPL-3.0)
* Documentation: [CC BY-SA 4.0](http://creativecommons.org/licenses/by-sa/4.0/)
## Funding
Jan Grzegorzewski and Matthias König are supported by the Federal Ministry of Education and Research (BMBF, Germany)
within the research network Systems Medicine of the Liver ([LiSyM](http://www.lisym.org/), grant number 031L0054).
Matthias König is supported by the German Research Foundation (DFG) within the Research Unit Programme FOR 5151
[QuaLiPerF](https://qualiperf.de) (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).
© 2017-2022 Jan Grzegorzewski & Matthias König; https://livermetabolism.com.