2 research outputs found
Development and validation of computational models of cellular interaction
In this paper we take the view that computational models of biological systems should satisfy two conditions –
they should be able to predict function at a systems biology level, and robust techniques of validation against
biological models must be available. A modelling paradigm for developing a predictive computational model of
cellular interaction is described, and methods of providing robust validation against biological models are
explored, followed by a consideration of software issues
The Epitheliome: agent-based modelling of the social behaviour of cells
We have developed a new computational modelling paradigm for predicting the emergent behaviour
resulting from the interaction of cells in epithelial tissue. As proof-of-concept, an agent-based model,
in which there is a one-to-one correspondence between biological cells and software agents, has been
coupled to a simple physical model. Behaviour of the computational model is compared with the
growth characteristics of epithelial cells in monolayer culture, using growth media with low and
physiological calcium concentrations. Results show a qualitative fit between the growth characteristics
produced by the simulation and the in vitro cell models