ArticlePLoS computational biology2010
Modeling mitochondrial bioenergetics with integrated volume dynamics.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Interplay between store-operated calcium entry and mitochondrial phosphate handling modulates force and fatigue during exercise.The Journal of physiology · 2026Article
- Computational modeling of substrate-dependent lung mitochondrial respiration and bioenergetics in rats with different susceptibility to hyperoxia-induced ARDS.American journal of physiology. Cell physiology · 2026Article
- Mathematical Modelling of the Mitochondrial Dicarboxylate Carrier (SLC25A10).Bulletin of mathematical biology · 2026Article
- Postnatal growth restriction alters myocardial mitochondrial energetics in mice.Experimental physiology · 2024Article
- Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways.IET systems biology · 2023Article
- Nanotoxicity of multifunctional stoichiometric cobalt oxide nanoparticles (SCoONPs) with repercussions toward apoptosis, necrosis, and cancer necrosis factor (TNF-α) at nano-biointerfaces.Toxicology research · 2023Review
- Crosstalk between adenine nucleotide transporter and mitochondrial swelling: experimental and computational approaches.Cell biology and toxicology · 2023Article
- Computational Modeling of Substrate-Dependent Mitochondrial Respiration and Bioenergetics in the Heart and Kidney Cortex and Outer Medulla.Function (Oxford, England) · 2023Article
- Kinetic Mathematical Modeling of Oxidative Phosphorylation in Cardiomyocyte Mitochondria.Cells · 2022Review
- Computational modeling of mitochondrial KJournal of molecular and cellular cardiology · 2022Article
- Impact of Influenza A Virus Infection on Growth and Metabolism of Suspension MDCK Cells Using a Dynamic Model.Metabolites · 2022Article
- Nilotinib Improves Bioenergetic Profiling in Brain Astroglia in the 3xTg Mouse Model of Alzheimer's Disease.Aging and disease · 2021Article
- Power Failure of Mitochondria and Oxidative Stress in Neurodegeneration and Its Computational Models.Antioxidants (Basel, Switzerland) · 2021Review
- On the Effects of Mechanical Stress of Biological Membranes in Modeling of Swelling Dynamics of Biological Systems.Scientific reports · 2020Article
- In silico simulation of reversible and irreversible swelling of mitochondria: The role of membrane rigidity.Mitochondrion · 2020Article
- Integrated Computational Model of Lung Tissue Bioenergetics.Frontiers in physiology · 2019Article
- Computational Modeling of In Vitro Swelling of Mitochondria: A Biophysical Approach.Molecules (Basel, Switzerland) · 2018Article
- Article
- Different approaches to modeling analysis of mitochondrial swelling.Mitochondrion · 2018Review
- A simulation study on the constancy of cardiac energy metabolites during workload transition.The Journal of physiology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models of mitochondrial bioenergetics provide powerful analytical tools to help interpret experimental data and facilitate experimental design for elucidating the supporting biochemical and physical processes. As a next step towards constructing a complete physiologically faithful mitochondrial bioenergetics model, a mathematical model was developed targeting the cardiac mitochondrial bioenergetic based upon previous efforts, and corroborated using both transient and steady state data. The model consists of several modified rate functions of mitochondrial bioenergetics, integrated calcium dynamics and a detailed description of the K(+)-cycle and its effect on mitochondrial bioenergetics and matrix volume regulation. Model simulations were used to fit 42 adjustable parameters to four independent experimental data sets consisting of 32 data curves. During the model development, a certain network topology had to be in place and some assumptions about uncertain or unobserved experimental factors and conditions were explicitly constrained in order to faithfully reproduce all the data sets. These realizations are discussed, and their necessity helps contribute to the collective understanding of the mitochondrial bioenergetics.
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