Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Precedings
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • RSS feed
  1. nature
  2. nature precedings
  3. articles
  4. article
Kinetic model based on molecular mechanism for action potential
Download PDF
Download PDF
  • Manuscript
  • Open access
  • Published: 18 February 2011

Kinetic model based on molecular mechanism for action potential

  • Lizhong Xu1 

Nature Precedings (2011)Cite this article

  • 457 Accesses

  • Metrics details

Abstract

The Hodgkin-Huxley model for action potentials has been widely used but was not built on a microscopic description of the neuronal membrane. Through molecular dynamics simulations, the molecular mechanism of the channel currents is becoming clear. However, the quantitative link between molecular mechanism and action potential remains to be elucidated. Here, a kinetic model for action potential based on the molecular mechanism of the channel currents is proposed. Using it, the experimental observations about action potential are reproduced quantitatively and explained based on molecular mechanism. We find that the accumulation of Na+ ions near exit of the electivity filter is the dominant event to cause the refractory period of the Na+ channel and the types of the channel currents depend on its rate constants. The channel inductance represents the inertia of the channel to retain a certain ion binding state, the channel resistances include ones against state transition and charge transfer.

Similar content being viewed by others

Regulating ion affinity and dehydration of metal-organic framework sub-nanochannels for high-precision ion separation

Article Open access 08 March 2024

A deep learning approach to real-time Markov modeling of ion channel gating

Article Open access 30 November 2024

Nanoconfinement enabled non-covalently decorated MXene membranes for ion-sieving

Article Open access 10 July 2023

Article PDF

Author information

Authors and Affiliations

  1. Yanshan University, Mechanical Department https://www.nature.com/nature

    Lizhong Xu

Authors
  1. Lizhong Xu
    View author publications

    Search author on:PubMed Google Scholar

Rights and permissions

Creative Commons Attribution 3.0 License.

Reprints and permissions

About this article

Cite this article

Xu, L. Kinetic model based on molecular mechanism for action potential. Nat Prec (2011). https://doi.org/10.1038/npre.2011.5697.1

Download citation

  • Received: 18 February 2011

  • Accepted: 18 February 2011

  • Published: 18 February 2011

  • DOI: https://doi.org/10.1038/npre.2011.5697.1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • action potential
  • kinetic model
  • molecular mechanism
  • channel inductance
  • circuit model
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Precedings (Nat Preced)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2025 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing