National Science Library of Georgia

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Statistical mechanics of cellular systems and processes / edited by Muhammad H. Zaman.

Contributor(s): Material type: TextTextPublisher: Cambridge : Cambridge University Press, 2009Description: 1 online resource (xii, 215 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511576768 (ebook)
Other title:
  • Statistical Mechanics of Cellular Systems & Processes
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 571.6/29 22
LOC classification:
  • QP517.T48 S73 2009
Online resources:
Contents:
Concentration and crowding effects on protein stability from a coarse-grained model / Jason K. Cheung [and others] -- Observations on the mechanics of a molecular bond under force / L.B. Freund -- Statistical thermodynamics of cell-matrix interactions / Tianyi Yang and Muhammad H. Zaman -- Energy landscape theory of cellular networks / Jin Wang -- Modeling gene regulatory networks for cell fate specification / Aryeh Warmflash and Aaron R. Dinner -- Structural and dynamical properties of cellular and regulatory networks / R. Sinatra [and others] -- Statistical mechanics of the immune response to vaccines / Jun Sun and Michael W. Deem.
Summary: 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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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Concentration and crowding effects on protein stability from a coarse-grained model / Jason K. Cheung [and others] -- Observations on the mechanics of a molecular bond under force / L.B. Freund -- Statistical thermodynamics of cell-matrix interactions / Tianyi Yang and Muhammad H. Zaman -- Energy landscape theory of cellular networks / Jin Wang -- Modeling gene regulatory networks for cell fate specification / Aryeh Warmflash and Aaron R. Dinner -- Structural and dynamical properties of cellular and regulatory networks / R. Sinatra [and others] -- Statistical mechanics of the immune response to vaccines / Jun Sun and Michael W. Deem.

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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