Truong, VT orcid.org/0000-0002-4129-2375, Baverel, PG, Lythe, GD orcid.org/0000-0001-7966-5571 et al. (3 more authors) (2022) Step-by-step comparison of ordinary differential equation and agent-based approaches to pharmacokinetic-pharmacodynamic models. CPT: Pharmacometrics & Systems Pharmacology, 11 (2). pp. 133-148. ISSN 2163-8306
Abstract
Mathematical models in oncology aid in the design of drugs and understanding of their mechanisms of action by simulation of drug bio-distribution, drug effects, and interaction between tumour and healthy cells. The traditional approach in pharmacometrics is to develop and validate ordinary differential equation models to quantify trends at the population level. In this approach, time-course of biological measurements is modelled continuously, assuming a homogenous population. Another approach, agent-based models focus on the behaviour and fate of biological entities at the individual level which subsequently could be summarized to reflect the population level. Heterogeneous cell populations and discrete events are simulated, and spatial distribution can be incorporated. In this tutorial, an agent-based model is presented and compared to an ordinary differential equation model for a tumour efficacy model inhibiting the pERK pathway. We highlight strengths, weaknesses, and opportunities of each approach.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
Keywords: | Agent-based modelling; cancer; ordinary differential equation; pharmacodynamics; pharmacokinetics; pharmacometrics; tutorial |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Oct 2021 14:18 |
Last Modified: | 27 Jul 2022 12:15 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/psp4.12703 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178973 |