Multiscale Modelling of Cellular Calcium Signalling
The ability to design effective medicines that treat disease requires a detailed knowledge of the associated natural processes. These natural processes operate on a range of complex spatio-temporal scales.
Computational modelling allows us to investigate such processes, however these often provide detail only at a single spatiotemporal scale. Multiscale modelling aims to combine or link these scales represented by computational models, such that information is passed between different types of simulation.
This project developed a multiscale model of cellular calcium signalling through extension of existing models. The pancreatic acinar cell was chosen for this treatment, owing to the polarised structure, range of signalling events, and disease states that are characteristic of this cell type.
Physical Systems and Engineering simulation: Diffusion
Visualisation and data handling methods: Data Management
Software Engineering Tools: Mercurial
Programming languages and libraries: Python