Systems Biology · 2004 · 147 citations · 24 references
EngineeringBiophysicsCell BiologyBiological Systems ModelingComputational BiologyComputational Systems BiologyCell Growth KineticsComputational ModelingNetwork ModelingReaction-diffusion SystemsSimulation MethodsStochastic Processes In BiophysicsCell GeometryCellular System SimulationMembrane DiffusionReaction - Diffusion ModelingReaction-diffusion Stochastic ModelsStochastic ApproximationStochastic Biological ModelingStochastic Reaction-diffusion Models
SmartCell has been developed to be a general framework for modelling and simulation of diffusion-reaction networks in a whole-cell context. It supports localisation and diffusion by using a mesoscopic stochastic reaction model. The SmartCell package can handle any cell geometry, considers different cell compartments, allows localisation of species, supports DNA transcription and translation, membrane diffusion and multistep reactions, as well as cell growth. Moreover, different temporal and spatial constraints can be applied to the model. A GUI interface that facilitates model making is also available. In this work we discuss limitations and advantages arising from the approach used in SmartCell and determine the impact of localisation on the behaviour of simple well-defined networks, previously analysed with differential equations. Our results show that this factor might play an important role in the response of networks and cannot be neglected in cell simulations.
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