ArticleClinical and translational science2022
A permeability- and perfusion-based PBPK model for improved prediction of concentration-time profiles.
Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Advances in Machine Learning-Enhanced PBPK Models for Brain-Targeted Drug Delivery via Nanocarriers: A Comprehensive Review.Journal of functional biomaterials · 2026Review
- Prediction variability in physiologically based pharmacokinetic modeling of tissue disposition under deep uncertainty.NPJ systems biology and applications · 2026Article
- Manuscript DMD-D-25-00346 The impact of glycocalyx on partitioning and distribution of basic drugs.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
- Modeling Metabolite Kinetics with a Partial Differential Equation-Based Hepatic Sinusoidal Model and MALDI-Mass Spectrometry Imaging of Verapamil and Its Metabolites.Journal of medicinal chemistry · 2026Article
- Modeling drug retention as memory effects in obese patients using fractional and augmented models.Scientific reports · 2025Article
- Rat PermQ: A permeability- and perfusion-based physiologically based pharmacokinetic model for improved prediction of drug concentration-time profiles in rat.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
- Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025Review
- Predicting Clearance with Simple and Permeability-Limited Physiologically Based Pharmacokinetic Frameworks: Comparison of Well-Stirred, Dispersion, and Parallel-Tube Liver Models.Drug metabolism and disposition: the biological fate of chemicals · 2024Article
- Article
- Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling of Nanomaterials.ACS pharmacology & translational science · 2024Review
- Predicting Volume of Distribution in Neonates: Performance of Physiologically Based Pharmacokinetic Modelling.Pharmaceutics · 2023Article
- Process and System Clearances in Pharmacokinetic Models: Our Basic Clearance Concepts Are Correct.Drug metabolism and disposition: the biological fate of chemicals · 2023Review
- A permeability- and perfusion-based PBPK model for improved prediction of concentration-time profiles.Clinical and translational science · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
To improve predictions of concentration-time (C-t) profiles of drugs, a new physiologically based pharmacokinetic modeling framework (termed 'PermQ') has been developed. This model includes permeability into and out of capillaries, cell membranes, and intracellular lipids. New modeling components include (i) lumping of tissues into compartments based on both blood flow and capillary permeability, and (ii) parameterizing clearances in and out of membranes with apparent permeability and membrane partitioning values. Novel observations include the need for a shallow distribution compartment particularly for bases. C-t profiles were modeled for 24 drugs (7 acidic, 5 neutral, and 12 basic) using the same experimental inputs for three different models: Rodgers and Rowland (RR), a perfusion-limited membrane-based model (K
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Registered trials
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