Comprehensive analyses of ventricular myocyte models identify targets exhibiting favorable rate dependence
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Sobol Sensitivity Analysis: A Tool to Guide the Development and Evaluation of Systems Pharmacology ModelsModeling Electrophysiological Coupling and Fusion between Human Mesenchymal Stem Cells and CardiomyocytesThe Contribution of Ionic Currents to Rate-Dependent Action Potential Duration and Pattern of Reentry in a Mathematical Model of Human Atrial Fibrillation.In silico model-based inference: an emerging approach for inverse problems in engineering better medicinesThere and back again: Iterating between population-based modeling and experiments reveals surprising regulation of calcium transients in rat cardiac myocytes.Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century.Logistic regression analysis of populations of electrophysiological models to assess proarrythmic riskAnti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk AssessmentMechanistic Systems Modeling to Improve Understanding and Prediction of Cardiotoxicity Caused by Targeted Cancer Therapeutics.Revealing kinetics and state-dependent binding properties of IKur-targeting drugs that maximize atrial fibrillation selectivity.Potassium channels in the heart: structure, function and regulation.Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.In Silico Assessment of Efficacy and Safety of IKur Inhibitors in Chronic Atrial Fibrillation: Role of Kinetics and State-Dependence of Drug Binding.Rate-Dependent Role of IKur in Human Atrial Repolarization and Atrial Fibrillation Maintenance.Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types.Response to "Complexity vs. Simplicity: The Winner Is?" Mechanism-Based Classifiers Provide More Than Just Classification.A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia ResearchCa Cycling Impairment in Heart Failure Is Exacerbated by Fibrosis: Insights Gained From Mechanistic Simulations
P2860
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P2860
Comprehensive analyses of ventricular myocyte models identify targets exhibiting favorable rate dependence
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2014 թուականի Մարտին հրատարակուած գիտական յօդուած
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2014 թվականի մարտին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Comprehensive analyses of vent ...... ting favorable rate dependence
@ast
Comprehensive analyses of vent ...... ting favorable rate dependence
@en
Comprehensive analyses of vent ...... ting favorable rate dependence
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type
label
Comprehensive analyses of vent ...... ting favorable rate dependence
@ast
Comprehensive analyses of vent ...... ting favorable rate dependence
@en
Comprehensive analyses of vent ...... ting favorable rate dependence
@nl
prefLabel
Comprehensive analyses of vent ...... ting favorable rate dependence
@ast
Comprehensive analyses of vent ...... ting favorable rate dependence
@en
Comprehensive analyses of vent ...... ting favorable rate dependence
@nl
P2093
P2860
P3181
P1476
Comprehensive analyses of vent ...... ting favorable rate dependence
@en
P2093
Eric A Sobie
Marco Bugana
Megan A Cummins
Pavan J Dalal
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1003543
P407
P577
2014-03-01T00:00:00Z