Cargando…
Improved predictions of time-dependent drug-drug interactions by determination of cytosolic drug concentrations
The clinical impact of drug-drug interactions based on time-dependent inhibition of cytochrome P450 (CYP) 3A4 has often been overpredicted, likely due to use of improper inhibitor concentration estimates at the enzyme. Here, we investigated if use of cytosolic unbound inhibitor concentrations could...
Autores principales: | Filppula, Anne M., Parvizi, Rezvan, Mateus, André, Baranczewski, Pawel, Artursson, Per |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458156/ https://www.ncbi.nlm.nih.gov/pubmed/30971754 http://dx.doi.org/10.1038/s41598-019-42051-x |
Ejemplares similares
-
Intracellular drug bioavailability: a new predictor of system dependent drug disposition
por: Mateus, André, et al.
Publicado: (2017) -
Impact of Intracellular Concentrations on Metabolic Drug-Drug Interaction Studies
por: Treyer, Andrea, et al.
Publicado: (2019) -
A High-Throughput Cell-Based
Method to Predict the
Unbound Drug Fraction in the Brain
por: Mateus, André, et al.
Publicado: (2014) -
Clinical Studies on Drug–Drug Interactions Involving Metabolism and Transport: Methodology, Pitfalls, and Interpretation
por: Tornio, Aleksi, et al.
Publicado: (2019) -
In Vitro and In Silico Strategies to Identify OATP1B1 Inhibitors and Predict Clinical Drug–Drug Interactions
por: Karlgren, Maria, et al.
Publicado: (2011)