Literature DB >> 24981626

Physiology-based pharmacokinetic modeling: ready to be used.

Walter Schmitt1, Stefan Willmann2.   

Abstract

Physiology-based pharmacokinetic (PBPK) modeling is well recognized as a technology for mechanistically simulating and predicting the fate of substances in a mammalian body. Today, the demand for this methodology is higher than ever. The pharma industry and regulatory agencies are looking for new methods, which help to speed up and increase the efficiency of the development process for new drugs. Implementing PBPK modeling in the drug research and development workflow contributes significantly to reach this goal.:
© 2004 Elsevier Ltd . All rights reserved.

Entities:  

Year:  2004        PMID: 24981626     DOI: 10.1016/j.ddtec.2004.09.006

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  11 in total

1.  BioDMET: a physiologically based pharmacokinetic simulation tool for assessing proposed solutions to complex biological problems.

Authors:  John F Graf; Bernhard J Scholz; Maria I Zavodszky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-12-10       Impact factor: 2.745

2.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

3.  Whole-body physiology-based pharmacokinetics of caspofungin for general patients, intensive care unit patients and hepatic insufficiency patients.

Authors:  Qian-Ting Yang; Ya-Jing Zhai; Lu Chen; Tao Zhang; Yan Yan; Ti Meng; Lei-Chao Liu; Li-Mei Chen; Xue Wang; Ya-Lin Dong
Journal:  Acta Pharmacol Sin       Date:  2018-05-31       Impact factor: 6.150

4.  Physiology-based pharmacokinetics of caspofungin for adults and paediatrics.

Authors:  Felix Stader; Gudrun Wuerthwein; Andreas H Groll; Joerg-Janne Vehreschild; Oliver A Cornely; Georg Hempel
Journal:  Pharm Res       Date:  2014-12-19       Impact factor: 4.200

Review 5.  Physiologically-based PK/PD modelling of therapeutic macromolecules.

Authors:  Peter Thygesen; Panos Macheras; Achiel Van Peer
Journal:  Pharm Res       Date:  2009-10-22       Impact factor: 4.200

6.  Bayesian Population Physiologically-Based Pharmacokinetic (PBPK) Approach for a Physiologically Realistic Characterization of Interindividual Variability in Clinically Relevant Populations.

Authors:  Markus Krauss; Kai Tappe; Andreas Schuppert; Lars Kuepfer; Linus Goerlitz
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

7.  Using Bayesian-PBPK modeling for assessment of inter-individual variability and subgroup stratification.

Authors:  Markus Krauss; Rolf Burghaus; Jörg Lippert; Mikko Niemi; Pertti Neuvonen; Andreas Schuppert; Stefan Willmann; Lars Kuepfer; Linus Görlitz
Journal:  In Silico Pharmacol       Date:  2013-04-11

8.  A comprehensive framework for physiologically based pharmacokinetic modelling in Matlab®.

Authors:  Felix Stader; Melissa A Penny; Marco Siccardi; Catia Marzolini
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02-18

9.  Insights from pharmacokinetic models of host-microbiome drug metabolism.

Authors:  Maria Zimmermann-Kogadeeva; Michael Zimmermann; Andrew L Goodman
Journal:  Gut Microbes       Date:  2019-09-29

10.  Integrating cellular metabolism into a multiscale whole-body model.

Authors:  Markus Krauss; Stephan Schaller; Steffen Borchers; Rolf Findeisen; Jörg Lippert; Lars Kuepfer
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

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