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CPT: Pharmacometrics & Systems Pharmacology
Article . 2016 . Peer-reviewed
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CPT: Pharmacometrics & Systems Pharmacology
Article
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CPT: Pharmacometrics & Systems Pharmacology
Article . 2017
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Other literature type . 2016
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https://dx.doi.org/10.1002/psp...
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Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Oct 2016 English Publisher:WileyJournal:CPT: Pharmacometrics & Systems Pharmacology, volume 5, pages 516-531 (issn: 2163-8306, eissn: 2163-8306, Copyright policy )
Authors: Kuepfer, L; Niederalt, C; Wendl, T; Schlender, J‐F; Willmann, S; Lippert, J; Block, M; +2 Authors

doi: 10.1002/psp4.12134

pmid: 27653238

pmc: PMC5080648

Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model

Abstract

The aim of this tutorial is to introduce the fundamental concepts of physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling with a special focus on their practical implementation in a typical PBPK model building workflow. To illustrate basic steps in PBPK model building, a PBPK model for ciprofloxacin will be constructed and coupled to a pharmacodynamic model to simulate the antibacterial activity of ciprofloxacin treatment.

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Keywords

Tutorial, Animals, Humans, Computer Simulation, Pharmacokinetics, Tissue Distribution, Models, Biological, Risk Assessment

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 325
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
325
Top 0.1%
Top 1%
Top 1%
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gold
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