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PK-DB: pharmacokinetics database for individualized and stratified computational modeling.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2021 Jan 08; Vol. 49 (D1), pp. D1358-D1364. - Publication Year :
- 2021
-
Abstract
- A multitude of pharmacokinetics studies have been published. However, due to the lack of an open database, pharmacokinetics data, as well as the corresponding meta-information, have been difficult to access. We present PK-DB (https://pk-db.com), an open database for pharmacokinetics information from clinical trials. PK-DB provides curated information on (i) characteristics of studied patient cohorts and subjects (e.g. age, bodyweight, smoking status, genetic variants); (ii) applied interventions (e.g. dosing, substance, route of application); (iii) pharmacokinetic parameters (e.g. clearance, half-life, area under the curve) and (iv) measured pharmacokinetic time-courses. Key features are the representation of experimental errors, the normalization of measurement units, annotation of information to biological ontologies, calculation of pharmacokinetic parameters from concentration-time profiles, a workflow for collaborative data curation, strong validation rules on the data, computational access via a REST API as well as human access via a web interface. PK-DB enables meta-analysis based on data from multiple studies and data integration with computational models. A special focus lies on meta-data relevant for individualized and stratified computational modeling with methods like physiologically based pharmacokinetic (PBPK), pharmacokinetic/pharmacodynamic (PK/PD), or population pharmacokinetic (pop PK) modeling.<br /> (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Area Under Curve
Body Weight
Caffeine pharmacokinetics
Clinical Trials as Topic
Contraceptives, Oral administration & dosage
Dose-Response Relationship, Drug
Drug Administration Routes
Drug Administration Schedule
Drug Dosage Calculations
Gene Ontology
Half-Life
Humans
Smoking physiopathology
Databases, Factual
Models, Statistical
Molecular Sequence Annotation
Prescription Drugs pharmacokinetics
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 49
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 33151297
- Full Text :
- https://doi.org/10.1093/nar/gkaa990