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

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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.
Original languageEnglish
Title of host publicationProceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
Subtitle of host publicationÖBGMT 2021
EditorsGernot Müller-Putz, Christian Baumgartner
Place of PublicationGraz
PublisherVerlag der Technischen Universität Graz
Pages13-16
Number of pages4
ISBN (Print) 978-3-85125-826-4
DOIs
Publication statusPublished - 2021
EventAnnual Meeting of the Austrian Society of the Biomedical Engineering 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Austria
Duration: 30 Sept 20211 Oct 2021
https://oegbmt2021.tugraz.at/

Conference

ConferenceAnnual Meeting of the Austrian Society of the Biomedical Engineering 2021
Abbreviated titleÖGBMT 2021
Country/TerritoryAustria
CityGraz
Period30/09/211/10/21
Internet address

Fields of Expertise

  • Human- & Biotechnology

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