Prediction of in vivo drug-drug interactions from in vitro data : factors affecting prototypic drug-drug interactions involving CYP2C9, CYP2D6 and CYP3A4. (Q31061538)

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English	Prediction of in vivo drug-drug interactions from in vitro data : factors affecting prototypic drug-drug interactions involving CYP2C9, CYP2D6 and CYP3A4.	scientific article

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scholarly article

1 reference

Europe PubMed Central

28 June 2017

Prediction of in vivo drug-drug interactions from in vitro data : factors affecting prototypic drug-drug interactions involving CYP2C9, CYP2D6 and CYP3A4. (English)

1 reference

Europe PubMed Central

28 June 2017

drug interaction

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object named as

David Hallifax

3

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Aleksandra Galetin

object named as

Aleksandra Galetin

2

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author name string

Hayley S Brown

1

1 reference

Europe PubMed Central

28 June 2017

J Brian Houston

4

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Europe PubMed Central

28 June 2017

publication date

1 January 2006

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Europe PubMed Central

28 June 2017

Clinical Pharmacokinetics

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Europe PubMed Central

28 June 2017

45

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Europe PubMed Central

28 June 2017

10

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Europe PubMed Central

28 June 2017

1035-1050

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Europe PubMed Central

28 June 2017

https://scigraph.springernature.com/pub.10.2165/00003088-200645100-00006

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Factors affecting quinidine protein binding in humans.

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https://pubmed.ncbi.nlm.nih.gov/16984215

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Prediction of pharmacokinetic alterations caused by drug-drug interactions: metabolic interaction in the liver

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https://pubmed.ncbi.nlm.nih.gov/16984215

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Tacrolimus oral bioavailability doubles with coadministration of ketoconazole

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

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Impact of parallel pathways of drug elimination and multiple cytochrome P450 involvement on drug-drug interactions: CYP2D6 paradigm.

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https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

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Molecular and physical mechanisms of first-pass extraction

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12 December 2020

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The effects of the systemic antimycotics, itraconazole and fluconazole, on the pharmacokinetics and pharmacodynamics of intravenous and oral midazolam.

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https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

based on heuristic

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Evaluation of methods for estimating population pharmacokinetic parameters II. Biexponential model and experimental pharmacokinetic data

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https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

based on heuristic

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Which concentration of the inhibitor should be used to predict in vivo drug interactions from in vitro data?

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https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

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The conduct of in vitro and in vivo drug-drug interaction studies: a Pharmaceutical Research and Manufacturers of America (PhRMA) perspective

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

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Clinically relevant pharmacology of selective serotonin reuptake inhibitors. An overview with emphasis on pharmacokinetics and effects on oxidative drug metabolism

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Evaluation of the selectivity of In vitro probes and suitability of organic solvents for the measurement of human cytochrome P450 monooxygenase activities

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Prediction of in vivo drug-drug interactions from in vitro data: impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

based on heuristic

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Differentiation of intestinal and hepatic cytochrome P450 3A activity with use of midazolam as an in vivo probe: effect of ketoconazole.

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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CYP3A4 substrate selection and substitution in the prediction of potential drug-drug interactions

1 reference

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In vitro metabolic interaction studies: experience of the Food and Drug Administration

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https://pubmed.ncbi.nlm.nih.gov/16984215

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In vitro approaches to predicting drug interactions in vivo.

1 reference

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Qualitative and quantitative assessment of drug-drug interaction potential in man, based on Ki, IC50 and inhibitor concentration

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Clinical Pharmacokinetics of Atorvastatin

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Optimizing drug development: strategies to assess drug metabolism/transporter interaction potential--towards a consensus

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based on heuristic

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Clinical pharmacokinetics of fluconazole

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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based on heuristic

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Quantitative prediction of in vivo drug clearance and drug interactions from in vitro data on metabolism, together with binding and transport

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

based on heuristic

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Database analyses for the prediction of in vivo drug-drug interactions from in vitro data

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

12 December 2020

based on heuristic

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The impact of in vitro binding on in vitro-in vivo extrapolations, projections of metabolic clearance and clinical drug-drug interactions

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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based on heuristic

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'In silico' simulations to assess the 'in vivo' consequences of 'in vitro' metabolic drug-drug interactions

1 reference

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Pharmacology and pharmacokinetics of traditional systemic antifungal agents.

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Microsomal protein concentration modifies the apparent inhibitory potency of CYP3A inhibitors

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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CYP3A4 drug interactions: correlation of 10 in vitro probe substrates

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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In vitro cytochrome P450 inhibition data and the prediction of drug-drug interactions: qualitative relationships, quantitative predictions, and the rank-order approach

1 reference

https://pubmed.ncbi.nlm.nih.gov/16984215

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Prediction of CYP2C9-mediated drug-drug interactions: a comparison using data from recombinant enzymes and human hepatocytes

1 reference

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Inhibition-based metabolic drug-drug interactions: predictions from in vitro data

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Effect of common organic solvents on in vitro cytochrome P450-mediated metabolic activities in human liver microsomes

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The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data.

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Impact of Nonspecific Binding to Microsomes and Phospholipid on the Inhibition of Cytochrome P4502D6: Implications for Relating in Vitro Inhibition Data to in Vivo Drug Interactions

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Prediction of cytochrome P450 3A inhibition by verapamil enantiomers and their metabolites

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Drug Metabolism and Drug Interactions: Application and Clinical Value of In Vitro Models

1 reference

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Prediction of time-dependent CYP3A4 drug-drug interactions: impact of enzyme degradation, parallel elimination pathways, and intestinal inhibition

1 reference

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Clinically Relevant Pharmacology of Selective Serotonin Reuptake Inhibitors

1 reference

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Identifiers

10.2165/00003088-200645100-00006

1 reference

Europe PubMed Central

28 June 2017

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1 reference

Europe PubMed Central

28 June 2017

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