Jan Grzegorzewski
and
Matthias König
PK-DB - a pharmacokinetics database
Overview
PK-DB 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.
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. Epub ahead of print. PMID: 33151297.
If you use PK-DB code cite in addition
License
PK-DB code and documentation is licensed as
- Source Code: LGPLv3
- Documentation: CC 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, grant number 031L0054). Matthias König is supported 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 number 465194077 (Priority Programme SPP 2311, Subproject SimLivA).
© 2017-2022 Jan Grzegorzewski & Matthias König; https://livermetabolism.com.