Literature DB >> 19912164

Physiologically based modelling and prediction of drug interactions.

Frédéric Y Bois1.   

Abstract

A major challenge for drug development and environmental or occupational health is the prediction of pharmacokinetic and pharmacodynamic interactions between drugs, natural chemicals or environmental contaminants. This article reviews briefly past developments in the area of physiologically based pharmacokinetic (PBPK) modelling of interactions. It also demonstrates a systems biology approach to the question, and the capabilities of new software tools to facilitate that development. Individual Systems Biology Markup Language models of metabolic pathways can now be automatically merged and coupled to a template PBPK pharmacokinetic model, using for example the GNU MCSim software. The global model generated is very efficient and able to simulate the interactions between a theoretically unlimited number of substances. Development time and the number of model parameter increase only linearly with the number of substances considered, even though the number of possible interactions increases exponentially.

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Year:  2009        PMID: 19912164     DOI: 10.1111/j.1742-7843.2009.00488.x

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  10 in total

1.  PBPK modeling of impact of nonalcoholic fatty liver disease on toxicokinetics of perchloroethylene in mice.

Authors:  Chimeddulam Dalaijamts; Joseph A Cichocki; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Appl Pharmacol       Date:  2020-05-21       Impact factor: 4.219

2.  PBPK Modeling to Simulate the Fate of Compounds in Living Organisms.

Authors:  Frédéric Y Bois; Cleo Tebby; Céline Brochot
Journal:  Methods Mol Biol       Date:  2022

3.  Quantitative Characterization of Population-Wide Tissue- and Metabolite-Specific Variability in Perchloroethylene Toxicokinetics in Male Mice.

Authors:  Chimeddulam Dalaijamts; Joseph A Cichocki; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Sci       Date:  2021-08-03       Impact factor: 4.849

Review 4.  Physiologically based pharmacokinetic modeling: methodology, applications, and limitations with a focus on its role in pediatric drug development.

Authors:  Feras Khalil; Stephanie Läer
Journal:  J Biomed Biotechnol       Date:  2011-06-01

5.  A mechanistic modeling framework for predicting metabolic interactions in complex mixtures.

Authors:  Shu Cheng; Frederic Y Bois
Journal:  Environ Health Perspect       Date:  2011-08-11       Impact factor: 9.031

6.  Computational pharmacokinetics at a crossroads.

Authors:  Frédéric Y Bois
Journal:  In Silico Pharmacol       Date:  2013-03-06

7.  ProbOnto: ontology and knowledge base of probability distributions.

Authors:  Maciej J Swat; Pierre Grenon; Sarala Wimalaratne
Journal:  Bioinformatics       Date:  2016-04-03       Impact factor: 6.937

8.  Addressing human variability in next-generation human health risk assessments of environmental chemicals.

Authors:  Lauren Zeise; Frederic Y Bois; Weihsueh A Chiu; Dale Hattis; Ivan Rusyn; Kathryn Z Guyton
Journal:  Environ Health Perspect       Date:  2012-10-19       Impact factor: 9.031

9.  Utilization of physiologically-based pharmacokinetic model to assess disease-mediated therapeutic protein-disease-drug interaction in immune-mediated inflammatory diseases.

Authors:  Lujing Wang; Yang Chen; Wangda Zhou; Xin Miao; Honghui Zhou
Journal:  Clin Transl Sci       Date:  2021-10-20       Impact factor: 4.689

10.  A Computational Framework for Studying Gut-Brain Axis in Autism Spectrum Disorder.

Authors:  Faiz Khan Mohammad; Meghana Venkata Palukuri; Shruti Shivakumar; Raghunathan Rengaswamy; Swagatika Sahoo
Journal:  Front Physiol       Date:  2022-03-07       Impact factor: 4.566

  10 in total

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