Bioscience computing and the role of computational simulation in biology

Bioscience computing exploits the synergy of challenges facing both computer science and biology, drawing inspiration from biology to solve computer science challenges and simultaneously using new bio-inspired adaptive software to model and simulate biological systems. This chapter first provides an introduction to bioscience computing-discussing the role of computational simulation in terms of hypothesis formulation and prototyping for biologists and medics, and explaining how bioscience computing is both timely and well-suited to systems biology. A concrete example of computational simulation is then provided - the artificial cytoskeleton, which utilises swarm agents and a cellular automaton to model cell morphogenesis. Morphological adaptation for tasks such as chemotaxis and phagocytosis are presented, and the role of the artificial cytoskeleton and its swarm-based techniques in both computer science and biology is explained. © 2006 Springer.

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