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Modular Representation of Physiologically Based Pharmacokinetic Models: Nanoparticle Delivery to Solid Tumors in Mice as an Example

Authors :
Elena Kutumova
Ilya Akberdin
Ilya Kiselev
Ruslan Sharipov
Fedor Kolpakov
Source :
Mathematics, Vol 10, Iss 7, p 1176 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Here we describe a toolkit for presenting physiologically based pharmacokinetic (PBPK) models in a modular graphical view in the BioUML platform. Firstly, we demonstrate the BioUML capabilities for PBPK modeling tested on an existing model of nanoparticles delivery to solid tumors in mice. Secondly, we provide guidance on the conversion of the PBPK model code from a text modeling language like Berkeley Madonna to a visual modular diagram in the BioUML. We give step-by-step explanations of the model transformation and demonstrate that simulation results from the original model are exactly the same as numerical results obtained for the transformed model. The main advantage of the proposed approach is its clarity and ease of perception. Additionally, the modular representation serves as a simplified and convenient base for in silico investigation of the model and reduces the risk of technical errors during its reuse and extension by concomitant biochemical processes. In summary, this article demonstrates that BioUML can be used as an alternative and robust tool for PBPK modeling.

Details

Language :
English
ISSN :
22277390
Volume :
10
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.6de6f9b006ca42eaa23ea2b93b213227
Document Type :
article
Full Text :
https://doi.org/10.3390/math10071176