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

Elena Kutumova, Ilya Akberdin, Ilya Kiselev, Ruslan Sharipov, Fedor Kolpakov

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number1176
Number of pages20
JournalMathematics
Volume10
Issue number7
DOIs
Publication statusPublished - 1 Apr 2022

Keywords

  • modular model
  • nanoparticles
  • physiologically based pharmacokinetic modeling
  • nanoparticle delivery to tumors
  • BioUML
  • GOLD NANOPARTICLES
  • DRUG
  • PRINCIPLES
  • NETWORKS
  • SYSTEMS
  • CELL

OECD FOS+WOS

  • 1.01 MATHEMATICS

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