ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2020
Quantification of model and data uncertainty in a network analysis of cardiac myocyte mechanosignalling.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow.Journal of biomechanical engineering · 2026Article
- Systems modelling of mitochondrial dynamics in different exercise regimes.The Journal of physiology · 2026Article
- Sparse polynomial surrogates for F-actin networks with compliant crosslinkers.Biomechanics and modeling in mechanobiology · 2026Article
- Multi-cellular network model predicts alterations in glomerular endothelial structure in diabetic kidney disease.PLoS computational biology · 2025Article
- Logic-based modeling of inflammatory macrophage cross talk with glomerular endothelial cells in diabetic kidney disease.American journal of physiology. Renal physiology · 2025Article
- The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification.Annual review of biomedical engineering · 2025Review
- Multiscale computational model predicts how environmental changes and treatments affect microvascular remodeling in fibrotic disease.PNAS nexus · 2025Article
- Network model of skeletal muscle cell signalling predicts differential responses to endurance and resistance exercise training.Experimental physiology · 2024Article
- A Graphical Approach to Visualize and Interpret Biochemically Coupled Biomechanical Models.Journal of biomechanical engineering · 2024Article
- Multiscale computational model predicts how environmental changes and drug treatments affect microvascular remodeling in fibrotic disease.bioRxiv : the preprint server for biology · 2024Article
- Differential sensitivity to longitudinal and transverse stretch mediates transcriptional responses in mouse neonatal ventricular myocytes.American journal of physiology. Heart and circulatory physiology · 2024Article
- A circuit for secretion-coupled cellular autonomy in multicellular eukaryotic cells.Molecular systems biology · 2023Article
- Fibroblast mechanotransduction network predicts targets for mechano-adaptive infarct therapies.eLife · 2022Article
- Roles of mTOR in thoracic aortopathy understood by complex intracellular signaling interactions.PLoS computational biology · 2021Article
- Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity.Journal of molecular and cellular cardiology · 2021Article
- Article
- The fickle heart: uncertainty quantification in cardiac and cardiovascular modelling and simulation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
Cardiac myocytes transduce changes in mechanical loading into cellular responses via interacting cell signalling pathways. We previously reported a logic-based ordinary differential equation model of the myocyte mechanosignalling network that correctly predicts 78% of independent experimental results not used to formulate the original model. Here, we use Monte Carlo and polynomial chaos expansion simulations to examine the effects of uncertainty in parameter values, model logic and experimental validation data on the assessed accuracy of that model. The prediction accuracy of the model was robust to parameter changes over a wide range being least sensitive to uncertainty in time constants and most affected by uncertainty in reaction weights. Quantifying epistemic uncertainty in the reaction logic of the model showed that while replacing 'OR' with 'AND' reactions greatly reduced model accuracy, replacing 'AND' with 'OR' reactions was more likely to maintain or even improve accuracy. Finally, data uncertainty had a modest effect on assessment of model accuracy. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
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