Statistical Mechanics of Cellular Systems and Processes

doi:10.1017/CBO9780511576768

Cells are complex objects, representing a multitude of structures and processes. In order to understand the organization, interaction and hierarchy of these structures and processes, a quantitative understanding is absolutely critical. Traditionally, statistical mechanics-based treatment of biological systems has focused on the molecular level, with larger systems being ignored. This book integrates understanding from the molecular to the cellular and multi-cellular level in a quantitative framework that will benefit a wide audience engaged in biological, biochemical, biophysical and clinical research. It will build new bridges of quantitative understanding that link fundamental physical principles governing cellular structure and function with implications in clinical and biomedical contexts.

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Statistical Mechanics of Cellular Systems and Processes

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Contents

Frontmatter
pp i-iv

Contents
pp v-vi

List of contributors
pp vii-x

Preface
pp xi-xii

1 - Concentration and crowding effects on protein stability from a coarse-grained model
pp 1-25

2 - Observations on the mechanics of a molecular bond under force
pp 26-53

3 - Statistical thermodynamics of cell–matrix interactions
pp 54-73

4 - Potential landscape theory of cellular networks
pp 74-120

5 - Modeling gene regulatory networks for cell fate specification
pp 121-154

6 - Structural and dynamical properties of cellular and regulatory networks
pp 155-176

7 - Statistical mechanics of the immune response to vaccines
pp 177-213

Index
pp 214-215

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Statistical Mechanics of Cellular Systems and Processes

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