Modeling 2D and 3D diffusion.
Modeling obstructed diffusion is essential to the understanding of diffusion-mediated processes in the crowded cellular environment. Simple Monte Carlo techniques for modeling obstructed random walks are explained and related to Brownian dynamics and more complicated Monte Carlo methods. Random number generation is reviewed in the context of random walk simulations. Programming techniques and event-driven algorithms are discussed as ways to speed simulations.
Saxton
Michael J
MJ
Department of Biochemistry and Molecular Medicine, University of California, Davis, USA.
D000465:Algorithms; D002462:Cell Membrane / Q000378:metabolism*; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D004058:Diffusion; D008954:Models, Biological; D009010:Monte Carlo Method