Literature DB >> 21699872

Successes and failures in modeling heart cell electrophysiology.

Denis Noble1.   

Abstract

Mathematical models of the electrical activity of the heart using equations for protein ion channels and other transporters began with the Noble 1962 model. These models then developed over a period of about 50 years. Cell types in all regions have been modeled and now are available for download from the CellML website (www.cellml.org). Simulation is a necessary tool of analysis in attempting to understand biological complexity. We often learn as much from the failures as from the successes of mathematical models. It is the iterative interaction between experiment and simulation that is important.
Copyright © 2011 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21699872     DOI: 10.1016/j.hrthm.2011.06.014

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  13 in total

1.  How the Hodgkin-Huxley equations inspired the Cardiac Physiome Project.

Authors:  Denis Noble; Alan Garny; Penelope J Noble
Journal:  J Physiol       Date:  2012-04-02       Impact factor: 5.182

Review 2.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

3.  Generating anatomical variation through mutations in networks - implications for evolution.

Authors:  Jonathan Bard
Journal:  J Anat       Date:  2014-06-17       Impact factor: 2.610

4.  The Ca2+ transient as a feedback sensor controlling cardiomyocyte ionic conductances in mouse populations.

Authors:  Colin M Rees; Jun-Hai Yang; Marc Santolini; Aldons J Lusis; James N Weiss; Alain Karma
Journal:  Elife       Date:  2018-09-25       Impact factor: 8.140

Review 5.  Calcium and IP3 dynamics in cardiac myocytes: experimental and computational perspectives and approaches.

Authors:  Felix Hohendanner; Andrew D McCulloch; Lothar A Blatter; Anushka P Michailova
Journal:  Front Pharmacol       Date:  2014-03-06       Impact factor: 5.810

Review 6.  Images as drivers of progress in cardiac computational modelling.

Authors:  Pablo Lamata; Ramón Casero; Valentina Carapella; Steve A Niederer; Martin J Bishop; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Prog Biophys Mol Biol       Date:  2014-08-10       Impact factor: 3.667

7.  The Cardiac Electrophysiology Web Lab.

Authors:  Jonathan Cooper; Martin Scharm; Gary R Mirams
Journal:  Biophys J       Date:  2016-01-19       Impact factor: 4.033

8.  Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.

Authors:  Philip Gemmell; Kevin Burrage; Blanca Rodríguez; T Alexander Quinn
Journal:  Prog Biophys Mol Biol       Date:  2016-06-16       Impact factor: 3.667

Review 9.  Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Front Physiol       Date:  2018-02-15       Impact factor: 4.566

10.  Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivo Trabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability.

Authors:  Oliver J Britton; Najah Abi-Gerges; Guy Page; Andre Ghetti; Paul E Miller; Blanca Rodriguez
Journal:  Front Physiol       Date:  2017-08-18       Impact factor: 4.566

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