Predicting drug-drug interactions: application of physiologically based pharmacokinetic models under a systems biology approach.
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How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusionRecent Advances in Development and Application of Physiologically-Based Pharmacokinetic (PBPK) Models: a Transition from Academic Curiosity to Regulatory AcceptanceMedication use and medical comorbidity in patients with chronic hepatitis C from a US commercial claims database: high utilization of drugs with interaction potential.A mechanistic framework for in vitro-in vivo extrapolation of liver membrane transporters: prediction of drug-drug interaction between rosuvastatin and cyclosporineComputational approaches to analyse and predict small molecule transport and distribution at cellular and subcellular levelsApplications of physiologically based pharmacokinetic modeling for the optimization of anti-infective therapies.An introduction to physiologically-based pharmacokinetic models.Biomarker exposure-response relationships as the basis for rational dose selection: Lessons from a simulation exercise using a selective COX-2 inhibitor.Validation of Computational Approaches for Antiretroviral Dose OptimizationEffect of multiple intravenous doses of lanicemine (AZD6765) on the pharmacokinetics of midazolam in healthy subjects.Basic concepts in population modeling, simulation, and model-based drug development: part 3-introduction to pharmacodynamic modeling methodsPrecision criteria to derive sample size when designing pediatric pharmacokinetic studies: which measure of variability should be used?Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research.Model-Based Assessments of CYP-Mediated Drug-Drug Interaction Risk of Alectinib: Physiologically Based Pharmacokinetic Modeling Supported Clinical Development.Prediction of drug-drug interaction potential using physiologically based pharmacokinetic modeling.Quantitative prediction of the extent of drug-drug interaction using a physiologically based pharmacokinetic model that includes inhibition of drug metabolism determined in cryopreserved hepatocytes.Physiologically based pharmacokinetics model predicts the lack of inhibition by repaglinide on the metabolism of pioglitazone.Unbound liver concentration is the true inhibitor concentration that determines cytochrome P450-mediated drug-drug interactions in rat liver.
P2860
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P2860
Predicting drug-drug interactions: application of physiologically based pharmacokinetic models under a systems biology approach.
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article científic
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article scientifique
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articol științific
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articolo scientifico
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artigo científico
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artigo científico
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artigo científico
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artikel ilmiah
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artikull shkencor
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artículo científico
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name
Predicting drug-drug interacti ...... er a systems biology approach.
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type
label
Predicting drug-drug interacti ...... er a systems biology approach.
@en
prefLabel
Predicting drug-drug interacti ...... er a systems biology approach.
@en
P2093
P2860
P356
P1476
Predicting drug-drug interacti ...... er a systems biology approach.
@en
P2093
Amin Rostami-Hodjegan
Karen Rowland Yeo
Masoud Jamei
P2860
P304
P356
10.1586/ECP.13.4
P407
P577
2013-03-01T00:00:00Z