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MODEL0848062679 - Irvine1999_CardiacSodiumChannel

 

The following model is part of the non-curated branch of BioModels Database. While the syntax of the model has been verified, its semantics remains unchecked. Any annotation present in the models is not a product of BioModels' annotators. We are doing our best to incorporate this model into the curated branch as soon as possible. In the meantime, we display only limited metadata here. For further information about the model, please download the SBML file.


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Reference Publication
Publication ID: 10096885
Irvine LA, Jafri MS, Winslow RL.
Cardiac sodium channel Markov model with temperature dependence and recovery from inactivation.
Biophys. J. 1999 Apr; 76(4): 1868-1885
Department of Biomedical Engineering, Center for Computational Medicine and Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.  [more]
Model
Original Model: CellML logo
Submitter: Vijayalakshmi Chelliah
Submission Date: 29 Apr 2009 14:37:42 UTC
Last Modification Date: 29 Apr 2009 14:37:42 UTC
Creation Date: 29 Apr 2009 14:37:42 UTC
Encoders:
bqbiol:occursIn Brenda Tissue Ontology cardiac muscle fiber
bqbiol:hasTaxon Taxonomy Homo sapiens
bqbiol:isVersionOf Gene Ontology voltage-gated sodium channel activity involved in cardiac muscle cell action potential
bqmodel:isDerivedFrom PubMed 8161454
Notes

This a model from the article:
Cardiac sodium channel Markov model with temperature dependence and recovery from inactivation.
Irvine LA, Jafri MS, Winslow RL. Biophys J 1999 Apr;76(4):1868-85 10096885 ,
Abstract:
A Markov model of the cardiac sodium channel is presented. The model is similar to the CA1 hippocampal neuron sodium channel model developed by Kuo and Bean (1994. Neuron. 12:819-829) with the following modifications: 1) an additional open state is added; 2) open-inactivated transitions are made voltage-dependent; and 3) channel rate constants are exponential functions of enthalpy, entropy, and voltage and have explicit temperature dependence. Model parameters are determined using a simulated annealing algorithm to minimize the error between model responses and various experimental data sets. The model reproduces a wide range of experimental data including ionic currents, gating currents, tail currents, steady-state inactivation, recovery from inactivation, and open time distributions over a temperature range of 10 degrees C to 25 degrees C. The model also predicts measures of single channel activity such as first latency, probability of a null sweep, and probability of reopening.

This model was taken from the CellML repository and automatically converted to SBML.
The original model was: Irvine LA, Jafri MS, Winslow RL. (1999) - version02
The original CellML model was created by:
Lloyd, Catherine, May
c.lloyd@aukland.ac.nz
The University of Auckland
The Bioengineering Institute

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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

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