Abstract / Description of output
We present a model of excitability in larval Drosophila muscles. Our model was initially based on modified Hodgkin-Huxley equations, adapted to represent variable, regenerative depolarisations (action potentials) we have occasionally observed in intracellular recordings and that can be triggered by excitatory junction potentials at neuromuscular synapses. We modified several kinetic equations describing voltage sensitive Ca2+ and K+ ionic currents, previously used to predict excitability in muscle cells of the mammalian cardiac atrioventricular node. The resulting nonlinear differential equations had multiple unknown parameters. Thus, to fit the model to experimental observations of variable excitability, we developed a new implementation of particle swarm optimisation. This GPU-based implementation allows us to adopt an ensemble model approach in which each experimental observation is used to find a plausible parameterisation, resulting in a set of models accounting for cell-to-cell variability of muscle excitability in Drosophila larvae,
and with potential applications to population-based modeling of other excitable cell types
and with potential applications to population-based modeling of other excitable cell types
Original language | English |
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Title of host publication | Computational Methods in Systems Biology |
Subtitle of host publication | CMSB 2019 |
Editors | Luca Bortolussi, Guido Sanguinetti |
Publisher | Springer |
Pages | 120-139 |
Number of pages | 20 |
ISBN (Electronic) | 978-3-030-31304-3 |
ISBN (Print) | 978-3-030-31303-6 |
DOIs | |
Publication status | E-pub ahead of print - 17 Sept 2019 |
Event | 17th International Conference on Computational Methods in Systems Biology - Trieste, Italy Duration: 18 Sept 2019 → 20 Sept 2019 https://cmsb2019.units.it |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 11773 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 17th International Conference on Computational Methods in Systems Biology |
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Abbreviated title | CMSB 2019 |
Country/Territory | Italy |
City | Trieste |
Period | 18/09/19 → 20/09/19 |
Internet address |