Literature DB >> 24034743

On a reusable and multilevel methodology for modeling and simulation of pharmacokinetic-physiological systems: a preliminary study.

Tomé Rodrigues Matos1, Manuel Prado-Velasco, Juan Martín Navarro, Cristina Vallez.   

Abstract

The intrinsic characteristics of physiological systems demand two critical requirements at the time of mathematical modeling: multilevel description and reusability. These features are not properly satisfied by current methodologies. In this paper the design of a multilevel and reusable methodology for modeling pharmacokinetic-physiological systems is presented. It has been implemented under a compliant modeling language to validate its reliability, obtaining a simulation components library, LibPK. A 3-pool urea kinetic model, whose vascular pool includes red blood cells, was built by means of LibPK. This model successfully confirmed the ability of this technology and the underlying methodology for addressing multilevel and reusability features, surpassing other physiologically based pharmacokinetic modeling technologies.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Multilevel modeling; Non-causal language; Pharmacokinetics; Physiology; Reusability; Virtual Physiological Human

Mesh:

Year:  2013        PMID: 24034743     DOI: 10.1016/j.compbiomed.2013.07.025

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Multilevel pharmacokinetics-driven modeling of metabolomics data.

Authors:  Emilia Daghir-Wojtkowiak; Paweł Wiczling; Małgorzata Waszczuk-Jankowska; Roman Kaliszan; Michał Jan Markuszewski
Journal:  Metabolomics       Date:  2017-02-08       Impact factor: 4.290

2.  Physiologically-based pharmacokinetic modelling and dosing evaluation of gentamicin in neonates using PhysPK.

Authors:  Hinojal Zazo; Eduardo Lagarejos; Manuel Prado-Velasco; Sergio Sánchez-Herrero; Jenifer Serna; Almudena Rueda-Ferreiro; Ana Martín-Suárez; M Victoria Calvo; Jonás Samuel Pérez-Blanco; José M Lanao
Journal:  Front Pharmacol       Date:  2022-09-28       Impact factor: 5.988

  2 in total

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