ReviewThe AAPS journal2007
Advanced pharmacokinetic models based on organ clearance, circulatory, and fractal concepts.
Review in The AAPS journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Process and System Clearances in Pharmacokinetic Models: Our Basic Clearance Concepts Are Correct.Drug metabolism and disposition: the biological fate of chemicals · 2023Review
- Tailored Pharmacokinetic model to predict drug trapping in long-term anesthesia.Journal of advanced research · 2021Article
- In Silico Simulation of Simultaneous Percutaneous Absorption and Xenobiotic Metabolism: Model Development and a Case Study on Aromatic Amines.Pharmaceutical research · 2020Article
- Interpretation of Non-Clinical Data for Prediction of Human Pharmacokinetic Parameters: In Vitro-In Vivo Extrapolation and Allometric Scaling.Pharmaceutics · 2019Review
- Reproducible pharmacokinetics.Journal of pharmacokinetics and pharmacodynamics · 2019Review
- Fractal properties and morphological investigation of Nano hydrochlorothiazide is used to treat hypertension.BMC pharmacology & toxicology · 2018Article
- Drug Transporters in Xenobiotic Disposition and Pharmacokinetic Prediction.Drug metabolism and disposition: the biological fate of chemicals · 2018Article
- A multiscale modelling approach to assess the impact of metabolic zonation and microperfusion on the hepatic carbohydrate metabolism.PLoS computational biology · 2018Article
- The virtual cell based assay: Current status and future perspectives.Toxicology in vitro : an international journal published in association with BIBRA · 2017Article
- A Computational Model of Hepatic Energy Metabolism: Understanding Zonated Damage and Steatosis in NAFLD.PLoS computational biology · 2016Article
- A physiologically-based flow network model for hepatic drug elimination III: 2D/3D DLA lobule models.Theoretical biology & medical modelling · 2016Article
- Article
- Spatio-temporal simulation of first pass drug perfusion in the liver.PLoS computational biology · 2014Article
- A multi-scale modeling framework for individualized, spatiotemporal prediction of drug effects and toxicological risk.Frontiers in pharmacology · 2012Article
- Using modeling to help understand vaginal microbicide functionality and create better products.Drug delivery and translational research · 2011Article
- Long-lasting target binding and rebinding as mechanisms to prolong in vivo drug action.British journal of pharmacology · 2010Review
- Tissue-level modeling of xenobiotic metabolism in liver: An emerging tool for enabling clinical translational research.Clinical and translational science · 2009Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three advanced models of pharmacokinetics are described. In the first class are physiologically based pharmacokinetic models based on in vitro data on transport and metabolism. The information is translated as transporter and enzyme activities and their attendant heterogeneities into liver and intestine models. Second are circulatory models based on transit time distribution and plasma concentration time curves. The third are fractal models for nonhomogeneous systems and non-Fickian processes are presented. The usefulness of these pharmacokinetic models, with examples, is compared.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.