All Stories

  1. A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
  2. Ten simple rules for training scientists to make better software
  3. Geometrically-derived action potential markers for model development: a principled approach?
  4. Optimising experimental designs for model selection of ion channel drug binding mechanisms
  5. Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs
  6. A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
  7. Resolving artefacts in voltage-clamp experiments with computational modelling: an application to fast sodium current recordings
  8. Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics
  9. An experimental investigation of rundown of the L-type calcium current
  10. Variability in reported midpoints of (in)activation of cardiac INa
  11. Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies
  12. Understanding the impact of numerical solvers on inference for differential equation models
  13. Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies
  14. Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics
  15. The impact of uncertainty in hERG binding mechanism on in silico predictions of drug‐induced proarrhythmic risk
  16. Model-driven optimal experimental design for calibrating cardiac electrophysiology models
  17. Leak current, even with gigaohm seals, can cause misinterpretation of stem cell-derived cardiomyocyte action potential recordings
  18. Uncertainty and error in SARS-CoV-2 epidemiological parameters inferred from population-level epidemic models
  19. Nuanced Interactions between AKAP79 and STIM1 with Orai1 Ca 2+ Channels at Endoplasmic Reticulum-Plasma Membrane Junctions Sustain NFAT Activation
  20. Models of the cardiac L‐type calcium current: A quantitative review
  21. Ion channel model reduction using manifold boundaries
  22. cellmlmanip and chaste_codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians
  23. A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models
  24. A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability
  25. A nonlinear and time-dependent leak current in the presence of calcium fluoride patch-clamp seal enhancer
  26. chaste codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians
  27. Models of the cardiac L-type calcium current: a quantitative review
  28. Electrophysiological characterization of the hERG R56Q LQTS variant and targeted rescue by the activator RPR260243
  29. Neural Network Differential Equations For Ion Channel Modelling
  30. Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia
  31. Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine
  32. Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk
  33. A nonlinear and time-dependent leak current in the presence of calcium fluoride patch-clamp seal enhancer
  34. Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments
  35. The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation
  36. Considering discrepancy when calibrating a mechanistic electrophysiology model
  37. A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm
  38. Chaste: Cancer, Heart and Soft Tissue Environment
  39. Calibration of ionic and cellular cardiac electrophysiology models
  40. Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments
  41. Four Ways to Fit an Ion Channel Model
  42. Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System
  43. Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence
  44. General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy
  45. High-throughput measurement and modeling of hERG kinetics using an automated platform
  46. Selective recruitment of different Ca2+-dependent transcription factors by STIM1-Orai1 channel clusters
  47. Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective
  48. Four ways to fit an ion channel model
  49. Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system
  50. Rapid characterisation of hERG channel kinetics II: temperature dependence
  51. Probabilistic Inference on Noisy Time Series (PINTS)
  52. Representation of Multiple Cellular Phenotypes Within Tissue-Level Simulations of Cardiac Electrophysiology
  53. Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative
  54. Reproducible model development in the cardiac electrophysiology Web Lab
  55. Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics
  56. Reproducible model development in the Cardiac Electrophysiology Web Lab
  57. Sequential forward and reverse transport of the Na+ Ca2+ exchanger generates Ca2+ oscillations within mitochondria
  58. Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology
  59. Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment
  60. Nonclinical cardiovascular safety of pitolisant: comparing International Conference on Harmonization S7B and Comprehensive in vitro Pro‐arrhythmia Assay initiative studies
  61. Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator
  62. Systems Toxicology: Real World Applications and Opportunities
  63. Sinusoidal Voltage Protocols For Rapid Characterisation Of Ion Channel Kinetics
  64. Hierarchical Bayesian inference for ion channel screening dose-response data
  65. High resolution structural evidence suggests the Sarcoplasmic Reticulum forms microdomains with Acidic Stores (lysosomes) in the heart
  66. Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator
  67. Hierarchical Bayesian inference for ion channel screening dose-response data
  68. Control of NFAT Isoform Activation and NFAT-Dependent Gene Expression through Two Coincident and Spatially Segregated Intracellular Ca 2+ Signals
  69. Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces
  70. Exploring temperature-dependence of hERG channel kinetics using sine wave voltage protocols
  71. Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
  72. Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century
  73. Uncertainty and variability in computational and mathematical models of cardiac physiology
  74. Recent developments in using mechanistic cardiac modelling for drug safety evaluation
  75. Connexin43 contributes to electrotonic conduction across scar tissue in the intact heart
  76. The Cardiac Electrophysiology Web Lab
  77. Hydroxychloroquine reduces heart rate by modulating the hyperpolarization-activated current If: Novel electrophysiological insights and therapeutic potential
  78. Voltage protocol design for determining hERG channel kinetics
  79. A web portal for in-silico action potential predictions
  80. Ca2+ Channel Re-localization to Plasma-Membrane Microdomains Strengthens Activation of Ca2+-Dependent Nuclear Gene Expression
  81. Cardiac tissue slices: preparation, handling, and successful optical mapping
  82. Cellular cardiac electrophysiology modeling with Chaste and CellML
  83. Novel Voltage Protocols for Determining hERG Channel Kinetics
  84. Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue
  85. Prediction of Thorough QT study results using action potential simulations based on ion channel screens
  86. In silico pro-arrhythmia assessment: Can the results of the thorough QT study be predicted?
  87. Ten Simple Rules for Effective Computational Research
  88. Spatiotemporal Transitions in Cardiac Neuronal Co-Cultures
  89. Evaluation of computational modelling as a preclinical proarrhythmic safety assay
  90. Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment
  91. Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge
  92. Chaste: An Open Source C++ Library for Computational Physiology and Biology
  93. mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study
  94. A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling
  95. Computational assessment of drug‐induced effects on the electrocardiogram: from ion channel to body surface potentials
  96. Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings
  97. A theoretical investigation of the effect of proliferation and adhesion on monoclonal conversion in the colonic crypt
  98. Application of cardiac electrophysiology simulations to pro‐arrhythmic safety testing
  99. Application of human stem cell-derived cardiomyocytes in safety pharmacology requires caution beyond hERG
  100. Stochasticity in Action Potential duration Enhances Dispersion of Repolarisation at Fast Pacing Rates
  101. Distinguishing possible mechanisms for auxin-mediated developmental control in Arabidopsis: Models with two Aux/IAA and ARF proteins, and two target gene-sets
  102. Is it time for in silico simulation of drug cardiac side effects?
  103. Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): Standardised reporting for model reproducibility, interoperability, and data sharing
  104. High-throughput functional curation of cellular electrophysiology models
  105. Functional Curation: Potential Future Directions for SED-ML
  106. Functional Curation: Potential Future Directions for SED-ML
  107. Novel Approaches to Assessing Cardiac Safety – Proceedings of a Workshop
  108. The significant effect of the choice of ionic current integration method in cardiac electro-physiological simulations
  109. Simulation of multiple ion channel block provides improved early prediction of compounds’ clinical torsadogenic risk
  110. Multiscale Modeling of Colonic Crypts and Early Colorectal Cancer
  111. A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to L-type Calcium Channel Modelling
  112. A hybrid approach to multi-scale modelling of cancer
  113. Phenomenological modeling of cell-to-cell and beat-to-beat variability in isolated Guinea Pig ventricular myocytes
  114. Modelling Spatially Regulated β-Catenin Dynamics and Invasion in Intestinal Crypts
  115. Chaste: A test-driven approach to software development for biological modelling
  116. An integrative computational model for intestinal tissue renewal
  117. A computational study of discrete mechanical tissue models
  118. A multiple timescale analysis of a mathematical model of the Wnt/β-catenin signalling pathway
  119. Towards a multiscale model of colorectal cancer