Literature DB >> 30637460

A Mathematical Model of the Human Cardiac Na+ Channel.

Tesfaye Negash Asfaw1, Vladimir E Bondarenko2,3.   

Abstract

Sodium ion channel is a membrane protein that plays an important role in excitable cells, as it is responsible for the initiation of action potentials. Understanding the electrical characteristics of sodium channels is essential in predicting their behavior under different physiological conditions. We investigated several Markov models for the human cardiac sodium channel NaV1.5 to derive a minimal mathematical model that describes the reported experimental data obtained using major voltage clamp protocols. We obtained simulation results for peak current-voltage relationships, the voltage dependence of normalized ion channel conductance, steady-state inactivation, activation and deactivation kinetics, fast and slow inactivation kinetics, and recovery from inactivation kinetics. Good agreement with the experimental data provides us with the mechanisms of the fast and slow inactivation of the human sodium channel and the coupling of its inactivation states to the closed and open states in the activation pathway.

Entities:  

Keywords:  Inactivation; Ion channel gating; Markov model; NaV1.5 channel; Recovery from inactivation

Mesh:

Substances:

Year:  2019        PMID: 30637460     DOI: 10.1007/s00232-018-00058-x

Source DB:  PubMed          Journal:  J Membr Biol        ISSN: 0022-2631            Impact factor:   1.843


  43 in total

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Authors:  Oscar Moran; Franco Conti; Paolo Tammaro
Journal:  Neurosci Lett       Date:  2003-01-23       Impact factor: 3.046

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Authors:  F Bezanilla; C M Armstrong
Journal:  J Gen Physiol       Date:  1977-11       Impact factor: 4.086

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Authors:  Vladimir E Bondarenko; Andrey L Shilnikov
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

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  1 in total

1.  Modeling the Interactions Between Sodium Channels Provides Insight Into the Negative Dominance of Certain Channel Mutations.

Authors:  Echrak Hichri; Zoja Selimi; Jan P Kucera
Journal:  Front Physiol       Date:  2020-11-05       Impact factor: 4.566

  1 in total

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