Literature DB >> 22458685

Use of physiologically based pharmacokinetic modeling for assessment of drug-drug interactions.

Guillaume Baneyx1, Yumi Fukushima, Neil Parrott.   

Abstract

Interactions between co-administered medicines can reduce efficacy or lead to adverse effects. Understanding and managing such interactions is essential in bringing safe and effective medicines to the market. Ideally, interaction potential should be recognized early and minimized in compounds that reach late stages of drug development. Physiologically based pharmacokinetic models combine knowledge of physiological factors with compound-specific properties to simulate how a drug behaves in the human body. These software tools are increasingly used during drug discovery and development and, when integrating relevant in vitro data, can simulate drug interaction potential. This article provides some background and presents illustrative examples. Physiologically based models are an integral tool in the discovery and development of drugs, and can significantly aid our understanding and prediction of drug interactions.

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Year:  2012        PMID: 22458685     DOI: 10.4155/fmc.12.13

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  3 in total

1.  Physiologically based pharmacokinetic modelling to predict single- and multiple-dose human pharmacokinetics of bitopertin.

Authors:  Neil Parrott; Dominik Hainzl; Daniela Alberati; Carsten Hofmann; Richard Robson; Bruno Boutouyrie; Meret Martin-Facklam
Journal:  Clin Pharmacokinet       Date:  2013-08       Impact factor: 6.447

2.  Prediction of pharmacokinetics and drug-drug interaction potential using physiologically based pharmacokinetic (PBPK) modeling approach: A case study of caffeine and ciprofloxacin.

Authors:  Min-Ho Park; Seok-Ho Shin; Jin-Ju Byeon; Gwan-Ho Lee; Byung-Yong Yu; Young G Shin
Journal:  Korean J Physiol Pharmacol       Date:  2016-12-21       Impact factor: 2.016

Review 3.  Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.

Authors:  C Anthony Hunt; Ryan C Kennedy; Sean H J Kim; Glen E P Ropella
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-06-04
  3 in total

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