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Titlebook: Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues; Luis Olivares-Quiroz,Osbaldo Resendis-Antonio Bo

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發(fā)表于 2025-3-21 18:39:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues
編輯Luis Olivares-Quiroz,Osbaldo Resendis-Antonio
視頻videohttp://file.papertrans.cn/781/780926/780926.mp4
概述Covers a wide variety of topics ranging from microscopic biological systems to macroscopic biological systems.Offers insight from top researchers in the field of biological and mathematical physics.Id
圖書封面Titlebook: Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues; Luis Olivares-Quiroz,Osbaldo Resendis-Antonio Bo
描述.This book presents cutting-edge research on the use of physical and mathematical formalisms to model and quantitatively analyze biological phenomena ranging from microscopic to macroscopic systems. The systems discussed in this compilation cover protein folding pathways, gene regulation in prostate cancer, quorum sensing in bacteria to mathematical and physical descriptions to analyze anomalous diffusion in patchy environments and the physical mechanisms that drive active motion in large sets of particles, both fundamental descriptions that can be applied to different phenomena in biology. All chapters are written by well-known experts on their respective research fields with a vast amount of scientific discussion and references in order the interested reader can pursue a further reading. Given these features, we consider??.Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues.??as an excellent and up-to-date resource and reference for advanced undergraduate students, graduate students and junior researchers interested in the latest developments at the intersection of physics, mathematics, molecular biology, and computational sciences. Such resea
出版日期Book 2018
關(guān)鍵詞protein-folding pathways; stochastic processes; quantitative models in biology; gene expression analysi
版次1
doihttps://doi.org/10.1007/978-3-319-73975-5
isbn_softcover978-3-030-08895-8
isbn_ebook978-3-319-73975-5
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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