Literature DB >> 27913283

I love it when a plan comes together: Insight gained through convergence of competing mathematical models.

Jingqi Q X Gong1, Jaehee V Shim1, Elisa Núñez-Acosta1, Eric A Sobie2.   

Abstract

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Year:  2016        PMID： 27913283      PMCID： PMC7329200          DOI： 10.1016/j.yjmcc.2016.10.015

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN： 0022-2828            Impact factor:   5.000


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  36 in total

1.  A meta-analysis of cardiac electrophysiology computational models.

Authors:  S A Niederer; M Fink; D Noble; N P Smith
Journal:  Exp Physiol       Date:  2009-01-12       Impact factor: 2.969

2.  Combined action potential- and dynamic-clamp for accurate computational modelling of the cardiac IKr current.

Authors:  Chiara Bartolucci; Claudia Altomare; Marco Bennati; Simone Furini; Antonio Zaza; Stefano Severi
Journal:  J Mol Cell Cardiol       Date:  2014-11-18       Impact factor: 5.000

Review 3.  Identifying predictive features in drug response using machine learning: opportunities and challenges.

Authors:  Mathukumalli Vidyasagar
Journal:  Annu Rev Pharmacol Toxicol       Date:  2014-12-12       Impact factor: 13.820

4.  Parameter sensitivity analysis of stochastic models provides insights into cardiac calcium sparks.

Authors:  Young-Seon Lee; Ona Z Liu; Hyun Seok Hwang; Bjorn C Knollmann; Eric A Sobie
Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033

5.  Rechanneling the cardiac proarrhythmia safety paradigm: a meeting report from the Cardiac Safety Research Consortium.

Authors:  Philip T Sager; Gary Gintant; J Rick Turner; Syril Pettit; Norman Stockbridge
Journal:  Am Heart J       Date:  2013-12-02       Impact factor: 4.749

6.  Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.

Authors:  M Cummins Lancaster; E A Sobie
Journal:  Clin Pharmacol Ther       Date:  2016-05-20       Impact factor: 6.875

7.  Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.

Authors:  Oliver J Britton; Alfonso Bueno-Orovio; Karel Van Ammel; Hua Rong Lu; Rob Towart; David J Gallacher; Blanca Rodriguez
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

8.  Cell-specific cardiac electrophysiology models.

Authors:  Willemijn Groenendaal; Francis A Ortega; Armen R Kherlopian; Andrew C Zygmunt; Trine Krogh-Madsen; David J Christini
Journal:  PLoS Comput Biol       Date:  2015-04-30       Impact factor: 4.475

Review 9.  Deep learning for computational biology.

Authors:  Christof Angermueller; Tanel Pärnamaa; Leopold Parts; Oliver Stegle
Journal:  Mol Syst Biol       Date:  2016-07-29       Impact factor: 11.429

10.  Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.

Authors:  Anna Muszkiewicz; Oliver J Britton; Philip Gemmell; Elisa Passini; Carlos Sánchez; Xin Zhou; Annamaria Carusi; T Alexander Quinn; Kevin Burrage; Alfonso Bueno-Orovio; Blanca Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2015-12-14       Impact factor: 3.667
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  4 in total

1.  Computational modeling of amylin-induced calcium dysregulation in rat ventricular cardiomyocytes.

Authors:  Bradley D Stewart; Caitlin E Scott; Thomas P McCoy; Guo Yin; Florin Despa; Sanda Despa; Peter M Kekenes-Huskey
Journal:  Cell Calcium       Date:  2017-12-08       Impact factor: 6.817

Review 2.  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

Review 3.  In vitro and In silico Models to Study SARS-CoV-2 Infection: Integrating Experimental and Computational Tools to Mimic "COVID-19 Cardiomyocyte".

Authors:  Rafael Dariolli; Chiara Campana; Amy Gutierrez; Eric A Sobie
Journal:  Front Physiol       Date:  2021-02-17       Impact factor: 4.566

4.  Editorial: Safety Pharmacology - Risk Assessment QT Interval Prolongation and Beyond.

Authors:  Eleonora Grandi; Stefano Morotti; Esther Pueyo; Blanca Rodriguez
Journal:  Front Physiol       Date:  2018-06-08       Impact factor: 4.566
  4 in total

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