Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling

Drexler, Dániel András and Ferenci, Tamás and Lovrics, Anna and Kovács, Levente (2019) Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. In: IEEE 13th International Symposium on Applied Computational Intelligence and Informatics, 2019.05.29. - 2019.05.31., Timişoara, Romania.


Download (137kB) | Preview


Model-based optimization and personalization of tumor therapies require tumor growth models that reliably describe the effect of the drug used during the therapy. A key phenomenon in the drug effect mechanism is the pharmacodynamics of the drugs which limits the maximal effect of the drug. The pharmacodynamics can be modeled with Michaelis-Menten kinetics, that can be realized in the differential equations of the model as a Hill function or bilinear functions with one extra state variable if we consider the quasi steady-state approximation or use triplet motifs, respectively. We use experimental data for a chemotherapeutic drug and carry out parametric identification of our tumor model with both Michealis-Menten kinetics models. The results show that the quasi steady-state approximation has better modeling power and less complexity.

Item Type: Conference or Workshop Item (Paper)
Subjects: R Medicine / orvostudomány > RC Internal medicine / belgyógyászat > RC0254 Neoplasms. Tumors. Oncology (including Cancer) / daganatok, tumorok, onkológia
R Medicine / orvostudomány > RM Therapeutics. Pharmacology / terápia, gyógyszertan
T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
Depositing User: Dr Dániel András Drexler
Date Deposited: 19 Feb 2021 11:31
Last Modified: 03 Apr 2023 07:08

Actions (login required)

Edit Item Edit Item