Stochastic Narrow Escape in Molecular and Cellular Biology: Analysis and Applications

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This book covers recent developments in the non-standard asymptotics of the mathematical narrow escape problem in stochastic theory, as well as applications of the narrow escape problem in cell biology. The first part of the book concentrates on mathematical methods, including advanced asymptotic methods in partial equations, and is aimed primarily at applied mathematicians and theoretical physicists who are interested in biological applications. The second part of the book is intended for computational biologists, theoretical chemists, biochemists, biophysicists, and physiologists. It includes a summary of output formulas from the mathematical portion of the book and concentrates on their applications in modeling specific problems in theoretical molecular and cellular biology.

Critical biological processes, such as synaptic plasticity and transmission, activation of genes by transcription factors, or double-strained DNA break repair, are controlled by diffusion in structures that have both large and small spatial scales. These may be small binding sites inside or on the surface of the cell, or narrow passages between subcellular compartments. The great disparity in spatial scales is the key to controlling cell function by structure. This volume reports recent progress on resolving analytical and numerical difficulties in extracting properties from experimental data, biophysical models, and from Brownian dynamics simulations of diffusion in multi-scale structures.

Author(s): David Holcman, Zeev Schuss (auth.)
Edition: 1
Publisher: Springer-Verlag New York
Year: 2015

Language: English
Pages: XIX, 259
Tags: Biophysics and Biological Physics; Mathematical and Computational Biology; Cell Biology; Numerical and Computational Physics

Front Matter....Pages i-xix
Elementary Theory of Stochastic Narrow Escape....Pages 1-44
Special Asymptotics for Stochastic Narrow Escape....Pages 45-94
NET in Molecular and Cellular Biology....Pages 95-112
Applications to Cellular Biology and Simulations....Pages 113-134
Determination of Features from Super-Resolution Data....Pages 135-141
Markov Models for Stochastic Chemical Reactions....Pages 143-168
Random Search with Switching....Pages 169-182
Narrow Escape in Other Cellular Processes....Pages 183-201
Modeling the Early Steps of Viral Infection in Cells....Pages 203-245
Back Matter....Pages 247-259