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Article

Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1

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Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, A-8010 Graz, Austria
2
Innovation Center of the Faculty of Mechanical Engineering, University of Belgrade, 11000 Belgrade, Serbia
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Department of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA
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Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43081, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Csaba Matta and Eiva Bernotiene
Cells 2022, 11(2), 239; https://doi.org/10.3390/cells11020239
Received: 26 November 2021 / Revised: 3 January 2022 / Accepted: 6 January 2022 / Published: 11 January 2022
(This article belongs to the Special Issue Ion Channels in Non-excitable Cells)
The mathematical modeling of ion channel kinetics is an important tool for studying the electrophysiological mechanisms of the nerves, heart, or cancer, from a single cell to an organ. Common approaches use either a Hodgkin–Huxley (HH) or a hidden Markov model (HMM) description, depending on the level of detail of the functionality and structural changes of the underlying channel gating, and taking into account the computational effort for model simulations. Here, we introduce for the first time a novel system theory-based approach for ion channel modeling based on the concept of transfer function characterization, without a priori knowledge of the biological system, using patch clamp measurements. Using the shaker-related voltage-gated potassium channel Kv1.1 (KCNA1) as an example, we compare the established approaches, HH and HMM, with the system theory-based concept in terms of model accuracy, computational effort, the degree of electrophysiological interpretability, and methodological limitations. This highly data-driven modeling concept offers a new opportunity for the phenomenological kinetic modeling of ion channels, exhibiting exceptional accuracy and computational efficiency compared to the conventional methods. The method has a high potential to further improve the quality and computational performance of complex cell and organ model simulations, and could provide a valuable new tool in the field of next-generation in silico electrophysiology. View Full-Text
Keywords: ion channels; electrophysiology; computational model; Hodgkin–Huxley; hidden Markov model; system and control theory ion channels; electrophysiology; computational model; Hodgkin–Huxley; hidden Markov model; system and control theory
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MDPI and ACS Style

Langthaler, S.; Lozanović Šajić, J.; Rienmüller, T.; Weinberg, S.H.; Baumgartner, C. Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1. Cells 2022, 11, 239. https://doi.org/10.3390/cells11020239

AMA Style

Langthaler S, Lozanović Šajić J, Rienmüller T, Weinberg SH, Baumgartner C. Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1. Cells. 2022; 11(2):239. https://doi.org/10.3390/cells11020239

Chicago/Turabian Style

Langthaler, Sonja, Jasmina Lozanović Šajić, Theresa Rienmüller, Seth H. Weinberg, and Christian Baumgartner. 2022. "Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1" Cells 11, no. 2: 239. https://doi.org/10.3390/cells11020239

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