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Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women

This tutorial presents the workflow of adapting an adult physiologically based pharmacokinetic (PBPK) model to the pregnant populations using the Open Systems Pharmacology (OSP) software suite (http://www.open-systems-pharmacology.org). This workflow is illustrated using a previously published PBPK...

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Detalles Bibliográficos
Autores principales: Dallmann, André, Solodenko, Juri, Ince, Ibrahim, Eissing, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063743/
https://www.ncbi.nlm.nih.gov/pubmed/29569837
http://dx.doi.org/10.1002/psp4.12300
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author Dallmann, André
Solodenko, Juri
Ince, Ibrahim
Eissing, Thomas
author_facet Dallmann, André
Solodenko, Juri
Ince, Ibrahim
Eissing, Thomas
author_sort Dallmann, André
collection PubMed
description This tutorial presents the workflow of adapting an adult physiologically based pharmacokinetic (PBPK) model to the pregnant populations using the Open Systems Pharmacology (OSP) software suite (http://www.open-systems-pharmacology.org). This workflow is illustrated using a previously published PBPK model for metronidazole that is extrapolated to pregnancy by parameterizing and extending the model structure in terms of pregnancy‐induced physiological changes. Importantly, this workflow can be applied to other scenarios where PBPK models need to be re‐parameterized or structurally modified.
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spelling pubmed-60637432018-07-31 Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women Dallmann, André Solodenko, Juri Ince, Ibrahim Eissing, Thomas CPT Pharmacometrics Syst Pharmacol Tutorial This tutorial presents the workflow of adapting an adult physiologically based pharmacokinetic (PBPK) model to the pregnant populations using the Open Systems Pharmacology (OSP) software suite (http://www.open-systems-pharmacology.org). This workflow is illustrated using a previously published PBPK model for metronidazole that is extrapolated to pregnancy by parameterizing and extending the model structure in terms of pregnancy‐induced physiological changes. Importantly, this workflow can be applied to other scenarios where PBPK models need to be re‐parameterized or structurally modified. John Wiley and Sons Inc. 2018-04-20 2018-07 /pmc/articles/PMC6063743/ /pubmed/29569837 http://dx.doi.org/10.1002/psp4.12300 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Tutorial
Dallmann, André
Solodenko, Juri
Ince, Ibrahim
Eissing, Thomas
Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title_full Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title_fullStr Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title_full_unstemmed Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title_short Applied Concepts in PBPK Modeling: How to Extend an Open Systems Pharmacology Model to the Special Population of Pregnant Women
title_sort applied concepts in pbpk modeling: how to extend an open systems pharmacology model to the special population of pregnant women
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063743/
https://www.ncbi.nlm.nih.gov/pubmed/29569837
http://dx.doi.org/10.1002/psp4.12300
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