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.
1. Concentration and crowding effects on protein stability from a coarse-grained model Jason K. Cheung, Vincent K. Shen, Jeffrey R. Errington and Thomas M. Truskett; 2. Observations on the mechanics of a molecular bond under force L. B. Freund; 3. Statistical thermodynamics of cell-matrix interactions Tianyi Yang and Muhammad H. Zaman; 4. Energy landscape theory of cellular networks Jin Wang; 5. Modeling gene regulatory networks for cell fate specification Aryeh Warmflash and Aaron R. Dinner; 6. Structural and dynamical properties of cellular and regulatory networks R. Sinatra, J. Gómez-Gardeñes, Y. Moreno, D. Condorelli, L. M. Floría and V. Latora; 7. Statistical mechanics of the immune response to vaccines Jun Sun and Michael W. Deem.
Traditionally, statistical mechanics-based treatment of biological systems has focused on the molecular level, with larger systems being ignored. This book fills that gap, addressing recent developments in the field, in particular, the multi-scale nature of biological problems, ranging from the genetic to the multi-cellular, tissue and organ level.
Muhammad H. Zaman is an Assistant Professor in the Department of Biomedical Engineering and Institute for Theoretical Chemistry at the University of Texas, Austin.
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