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
2022
Аутори
Langthaler, SonjaLozanović Šajić, Jasmina
Rienmueller, Theresa
Weinberg, Seth H.
Baumgartner, Christian
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 methodologi...cal 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.
Кључне речи:
system and control theory / ion channels / Hodgkin-Huxley / hidden Markov model / electrophysiology / computational modelИзвор:
Cells, 2022, 11, 2Издавач:
- MDPI, Basel
DOI: 10.3390/cells11020239
ISSN: 2073-4409
PubMed: 35053355
WoS: 000747151200001
Scopus: 2-s2.0-85122505443
Институција/група
Inovacioni centarTY - JOUR AU - Langthaler, Sonja AU - Lozanović Šajić, Jasmina AU - Rienmueller, Theresa AU - Weinberg, Seth H. AU - Baumgartner, Christian PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3780 AB - 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. PB - MDPI, Basel T2 - Cells T1 - 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 IS - 2 VL - 11 DO - 10.3390/cells11020239 ER -
@article{ author = "Langthaler, Sonja and Lozanović Šajić, Jasmina and Rienmueller, Theresa and Weinberg, Seth H. and Baumgartner, Christian", year = "2022", abstract = "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.", publisher = "MDPI, Basel", journal = "Cells", title = "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", number = "2", volume = "11", doi = "10.3390/cells11020239" }
Langthaler, S., Lozanović Šajić, J., Rienmueller, T., Weinberg, S. H.,& Baumgartner, C.. (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. in Cells MDPI, Basel., 11(2). https://doi.org/10.3390/cells11020239
Langthaler S, Lozanović Šajić J, Rienmueller 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. in Cells. 2022;11(2). doi:10.3390/cells11020239 .
Langthaler, Sonja, Lozanović Šajić, Jasmina, Rienmueller, Theresa, Weinberg, Seth H., Baumgartner, Christian, "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" in Cells, 11, no. 2 (2022), https://doi.org/10.3390/cells11020239 . .