Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1

Sonja Langthaler; Theresa Margarethe Rienmüller; Jasmina Lozanovic Sajic; Christian Baumgartner

doi:10.3217/978-3-85125-826-4-04

Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1

Sonja Langthaler, Theresa Margarethe Rienmüller, Jasmina Lozanovic Sajic, Christian Baumgartner

Institut für Health Care Engineering mit Europaprüfstelle für Medizinprodukte (7180)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Mathematical models of individual ion
channels form the building blocks of complex in-silico
tools, enabling the investigation of biophysical mecha-
nisms and simulation of disease processes. We here
propose a first simplified hidden Markov Model (HMM)
for the voltage-gated potassium channel Kv1.1, taking
into account the channels’ specific activation and inac-
tivation characteristics close to physiological tempera-
ture. The modeling approach and simulation results
were compared with an existing Hodgkin Huxley
model based on the same experimental data. The
newly developed HMM shows a higher accuracy with
regard to the activation and inactivation behavior com-
pared to the Hodgkin Huxley approach.

Originalsprache	englisch
Titel	Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
Untertitel	ÖBGMT 2021
Redakteure/-innen	Gernot Müller-Putz, Christian Baumgartner
Erscheinungsort	Graz
Herausgeber (Verlag)	Verlag der Technischen Universität Graz
Seiten	13-16
Seitenumfang	4
ISBN (Print)	978-3-85125-826-4
DOIs	https://doi.org/10.3217/978-3-85125-826-4-04
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	ÖGBMT Jahrestagung 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Österreich Dauer: 30 Sept. 2021 → 1 Okt. 2021 https://oegbmt2021.tugraz.at/

Konferenz

Konferenz	ÖGBMT Jahrestagung 2021
Kurztitel	ÖGBMT 2021
Land/Gebiet	Österreich
Ort	Graz
Zeitraum	30/09/21 → 1/10/21
Internetadresse	https://oegbmt2021.tugraz.at/

Fields of Expertise

Human- & Biotechnology

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10.3217/978-3-85125-826-4-04Lizenz: CC BY 4.0

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Langthaler, S., Rienmüller, T. M., Lozanovic Sajic, J., & Baumgartner, C. (2021). Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1. in G. Müller-Putz, & C. Baumgartner (Hrsg.), Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021: ÖBGMT 2021 (S. 13-16). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-826-4-04

Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1. / Langthaler, Sonja ; Rienmüller, Theresa Margarethe; Lozanovic Sajic, Jasmina et al.
Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021: ÖBGMT 2021. Hrsg. / Gernot Müller-Putz; Christian Baumgartner. Graz: Verlag der Technischen Universität Graz, 2021. S. 13-16.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Langthaler, S , Rienmüller, TM, Lozanovic Sajic, J & Baumgartner, C 2021, Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1. in G Müller-Putz & C Baumgartner (Hrsg.), Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021: ÖBGMT 2021. Verlag der Technischen Universität Graz, Graz, S. 13-16, ÖGBMT Jahrestagung 2021, Graz, Österreich, 30/09/21. https://doi.org/10.3217/978-3-85125-826-4-04

Langthaler S , Rienmüller TM, Lozanovic Sajic J, Baumgartner C. Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1. in Müller-Putz G, Baumgartner C, Hrsg., Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021: ÖBGMT 2021. Graz: Verlag der Technischen Universität Graz. 2021. S. 13-16 doi: 10.3217/978-3-85125-826-4-04

Langthaler, Sonja ; Rienmüller, Theresa Margarethe ; Lozanovic Sajic, Jasmina et al. / Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1. Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021: ÖBGMT 2021. Hrsg. / Gernot Müller-Putz ; Christian Baumgartner. Graz : Verlag der Technischen Universität Graz, 2021. S. 13-16

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title = "Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1",

abstract = "Mathematical models of individual ion channels form the building blocks of complex in-silico tools, enabling the investigation of biophysical mecha-nisms and simulation of disease processes. We here propose a first simplified hidden Markov Model (HMM) for the voltage-gated potassium channel Kv1.1, taking into account the channels{\textquoteright} specific activation and inac-tivation characteristics close to physiological tempera-ture. The modeling approach and simulation results were compared with an existing Hodgkin Huxley model based on the same experimental data. The newly developed HMM shows a higher accuracy with regard to the activation and inactivation behavior com-pared to the Hodgkin Huxley approach.",

author = "Sonja Langthaler and Rienm{\"u}ller, {Theresa Margarethe} and {Lozanovic Sajic}, Jasmina and Christian Baumgartner",

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note = "Annual Meeting of the Austrian Society of the Biomedical Engineering 2021 : {\"O}GBMT 2021, {\"O}GBMT 2021 ; Conference date: 30-09-2021 Through 01-10-2021",

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AU - Lozanovic Sajic, Jasmina

AU - Baumgartner, Christian

PY - 2021

Y1 - 2021

N2 - Mathematical models of individual ion channels form the building blocks of complex in-silico tools, enabling the investigation of biophysical mecha-nisms and simulation of disease processes. We here propose a first simplified hidden Markov Model (HMM) for the voltage-gated potassium channel Kv1.1, taking into account the channels’ specific activation and inac-tivation characteristics close to physiological tempera-ture. The modeling approach and simulation results were compared with an existing Hodgkin Huxley model based on the same experimental data. The newly developed HMM shows a higher accuracy with regard to the activation and inactivation behavior com-pared to the Hodgkin Huxley approach.

AB - Mathematical models of individual ion channels form the building blocks of complex in-silico tools, enabling the investigation of biophysical mecha-nisms and simulation of disease processes. We here propose a first simplified hidden Markov Model (HMM) for the voltage-gated potassium channel Kv1.1, taking into account the channels’ specific activation and inac-tivation characteristics close to physiological tempera-ture. The modeling approach and simulation results were compared with an existing Hodgkin Huxley model based on the same experimental data. The newly developed HMM shows a higher accuracy with regard to the activation and inactivation behavior com-pared to the Hodgkin Huxley approach.

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DO - 10.3217/978-3-85125-826-4-04

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EP - 16

BT - Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021

A2 - Müller-Putz, Gernot

A2 - Baumgartner, Christian

PB - Verlag der Technischen Universität Graz

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Y2 - 30 September 2021 through 1 October 2021

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Modeling of ion channels - A side by side comparison between Hodgkin Huxley and hidden Markov approach on the example of Kv1.1

Abstract

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