PK-DB

PK-DB aggregates pharmacokinetic (PK) data from clinical trials and pre-clinical studies to centralize concentration-time profiles, cohort and intervention metadata, and derived PK parameters for quantitative analysis.


Key Features:

  • Comprehensive Data Curation: Curates cohort and subject characteristics (age, body weight, smoking status), intervention details (dosing regimens, substances, routes of application), measured concentration-time courses, and PK parameters such as clearance, half-life, and area under the curve.
  • Experimental Error Representation: Represents experimental errors associated with measurements and reported parameters.
  • Normalization and Annotation: Normalizes measurement units across datasets and annotates entities using biological ontologies.
  • Pharmacokinetic Parameter Calculation: Calculates pharmacokinetic parameters directly from concentration-time profiles.
  • Collaborative Data Curation Workflow: Implements a structured workflow to support collaborative curation and high-quality data entry.
  • Robust Validation Rules: Enforces validation rules to maintain data integrity and accuracy.
  • Computational Access: Provides programmatic access via a REST API for computational retrieval and integration.

Scientific Applications:

  • Meta-analysis: Enables meta-analyses across multiple studies by consolidating comparable PK measurements and metadata.
  • Integration with Computational Models: Facilitates integration with physiologically based pharmacokinetic (PBPK), pharmacokinetic/pharmacodynamic (PK/PD), and population pharmacokinetic (pop PK) modeling workflows.
  • Individualized and Stratified Modeling: Supports individualized and stratified computational modeling by supplying patient-level metadata relevant to personalized analyses.

Methodology:

Normalization of measurement units, ontology-based annotation, calculation of PK parameters from concentration-time profiles, representation of experimental errors, implementation of validation rules, and provision of a REST API for programmatic access.

Topics

Details

Programming Languages:
Python
Added:
11/14/2019
Last Updated:
1/10/2021

Operations

Publications

Grzegorzewski J, Brandhorst J, Eleftheriadou D, Green K, König M. PK-DB: PharmacoKinetics DataBase for Individualized and Stratified Computational Modeling. Unknown Journal. 2019. doi:10.1101/760884.

Links