Abstract
Most sciences, and notably chemistry and biology, are becoming more interdisciplinary with overlaps between disciplines providing fertile new fields of research. As scientists attempt to model more complicated matter such as protein complexes, regulatory networks, cells, smart materials, biomaterials, and the like, it is clear that the complexity of these systems is difficult to describe using traditional reductionist tools. We describe how the tools and concepts of complex systems science may be applied to the simulation and modelling of complex chemical and biological systems.
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