PK-DB: pharmacokinetics database for individualized and stratified computational modeling.
Nucleic Acids Res
; 49(D1): D1358-D1364, 2021 01 08.
Article
en En
| MEDLINE
| ID: mdl-33151297
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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Modelos Estadísticos
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Bases de Datos Factuales
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Medicamentos bajo Prescripción
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Anotación de Secuencia Molecular
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Nucleic Acids Res
Año:
2021
Tipo del documento:
Article
País de afiliación:
Alemania