ArticleDrug metabolism and disposition: the biological fate of chemicals2019
Impact of Lipid Partitioning on the Design, Analysis, and Interpretation of Microsomal Time-Dependent Inactivation.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Enzyme-substrate-inactivator complex formation can impact time-dependent inhibition kinetics.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
- Using partition analysis as a facile method to derive net clearances.Clinical and translational science · 2022Article
- Numerical Methods for Modeling Enzyme Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Improved solubility, dissolution rate, and oral bioavailability of main biflavonoids fromDrug delivery · 2020Article
- Mechanisms of Herb-Drug Interactions Involving Cinnamon and CYP2A6: Focus on Time-Dependent Inhibition by Cinnamaldehyde and 2-Methoxycinnamaldehyde.Drug metabolism and disposition: the biological fate of chemicals · 2020Article
- Time-dependent enzyme inactivation: Numerical analyses of in vitro data and prediction of drug-drug interactions.Pharmacology & therapeutics · 2020Review
- Proliposomes for oral delivery of total biflavonoids extract fromInternational journal of nanomedicine · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Nonspecific drug partitioning into microsomal membranes must be considered for in vitro-in vivo correlations. This work evaluated the effect of including lipid partitioning in the analysis of complex TDI kinetics with numerical methods. The covariance between lipid partitioning and multiple inhibitor binding was evaluated. Simulations were performed to test the impact of lipid partitioning on the interpretation of TDI kinetics, and experimental TDI datasets for paroxetine (PAR) and itraconazole (ITZ) were modeled. For most kinetic schemes, modeling lipid partitioning results in statistically better fits. For MM-IL simulations (K
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