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Titlebook: Stochastic Processes in Cell Biology; Volume I Paul C. Bressloff Textbook 2021Latest edition Springer Nature Switzerland AG 2021 stochastic

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发表于 2025-3-21 17:53:03 | 显示全部楼层 |阅读模式
书目名称Stochastic Processes in Cell Biology
副标题Volume I
编辑Paul C. Bressloff
视频video
概述First graduate textbook in interdisciplinary applied mathematics that focuses on applications of stochastic processes to cell biology.Introduces concepts in stochastic process via motiviating biologic
丛书名称Interdisciplinary Applied Mathematics
图书封面Titlebook: Stochastic Processes in Cell Biology; Volume I Paul C. Bressloff Textbook 2021Latest edition Springer Nature Switzerland AG 2021 stochastic
描述This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. .A wide range of biological topics are covered in the new edition, including stochastic ion channels and excitable systems, molecular motors, stochastic gene networks, genetic switches and oscillators, epigenetics, normal and anomalous diffusion in complex cellular environments, stochastically-gated diffusion, active intracellular transport, signal transduction, cell sensing, bacterial chemotaxis, intracellular pattern formation, cell polarization, cell mechanics, biological polymers and membranes, nuclear structure and dynamics, biological condensates, molecular aggregation and nucleation, cellular length control, cell mitosis, cell motility, cell adhesion, cytoneme-based morphogenesis, bacterial growth, and quorum sensing. The book also provides
出版日期Textbook 2021Latest edition
关键词stochastic processes; nonequilibrium statistical physics; molecular and cell biology; reaction-diffusio
版次2
doihttps://doi.org/10.1007/978-3-030-72515-0
isbn_softcover978-3-030-72517-4
isbn_ebook978-3-030-72515-0Series ISSN 0939-6047 Series E-ISSN 2196-9973
issn_series 0939-6047
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Random walks and Brownian motion,g from regions of high concentration to regions of low concentration at a rate that depends on the local concentration gradient (Fick’s law). However, there are some limitations of the standard macroscopic derivation of the diffusion equation. First, it does not take into account microscopic feature
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Molecular motors, and cell division. In eukaryotes, the cytoskeleton consists of three types of protein filaments—microtubules, intermediate filaments, and actin filaments, see Fig. .. Actin filaments are the thinnest structures (around 6 nm) whose basic building block is the globular protein G-actin.
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Stochastic gene expression and regulatory networks, phenotypic characteristics. This intrinsic variability is linked to the fact that many cellular events at the genetic level involve small numbers of molecules (low copy numbers). Although stochastic gene expression was originally viewed as having detrimental effects on cellular function, with vario
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The WKB method, path integrals, and large deviations,s (Sect. .), calcium puffs and sparks (Sect. .), genetic switches (Sect. .), epigenetic landscapes (Sect. .), and diffusion over a fluctuating barrier (Sect. .). Noise-induced escape will also arise when we consider bacterial population extinction (Chap. 15). In the absence of noise, the particular
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Textbook 2021Latest editionas been significantly expanded, particularly within the context of nonequilibrium and self-organizing systems. Given the amount of additional material, the book has been divided into two volumes, with volume I mainly covering molecular processes and volume II focusing on cellular processes. .A wide
发表于 2025-3-23 06:53:24 | 显示全部楼层
Stochastic gene expression and regulatory networks,us implications for disease, it is now seen as being potentially advantageous. For example, intrinsic noise can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and can also support a mechanism by which population heterogeneity is established during cell differentiation and development.
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