Computational Modelling Group

Multiscale Modelling of Cellular Calcium Signalling

1st October 2008
1st October 2012
Research Team
Dan Mason
Hans Fangohr, Jonathan Essex

Multiscale modelling up to the cellular level: an overview of relevant simulation methods.

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.


Life sciences simulation: Bioinformatics, Biomathematics, Systems biology

Physical Systems and Engineering simulation: Diffusion

Algorithms and computational methods: Agents, Cellular automata, Finite differences, Finite elements, Multi-core, Multi-scale

Visualisation and data handling methods: Data Management

Visualisation and data handling software: Pylab, VTK

Software Engineering Tools: Mercurial

Programming languages and libraries: Python

Computational platforms: Linux, Windows

Transdisciplinary tags: Complex Systems, Quantitative Biology, Scientific Computing, Software Engineering, Visualisation