Stochastic models of intracellular transport

摘要: The interior of a living cell is crowded, heterogenuous, fluctuating environment. Hence, major challenge in modeling intracellular transport to analyze stochastic processes within complex environments. Broadly speaking, there are two basic mechanisms for transport: passive diffusion and motor-driven active transport. Diffusive can be formulated terms the motion an overdamped Brownian particle. On other hand, requires chemical energy, usually form adenosine triphosphate hydrolysis, direction specific, allowing biomolecules transported long distances; this particularly important neurons due their geometry. In review wide range analytical methods models presented. case diffusive transport, narrow escape problems, small target, confined single-file diffusion, homogenization theory, fractional considered. ratchets, random walk models, exclusion processes, intermittent search quasi-steady-state reduction methods, mean-field approximations Applications include receptor trafficking, axonal membrane nuclear protein-DNA interactions, virus self-organization subcellular structures.