Quantitative Biology

Quantitative Biology: From Molecular to Cellular Systems

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ISBN 9781439827222
Cat# K11344

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ISBN 9781466579217
Cat# KE21895

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Features

  • Provides an introductory overview of the field emphasizing fundamental concepts and methodology
  • Illustrates how quantitative methods are applied to increase our understanding of biological systems from the molecular to cellular levels
  • Covers a broad spectrum of quantitative approaches such as single molecule biochemistry, single cell behavior, and modeling cell-to-cell variations
  • Includes detailed descriptions of important examples, from transcription to cell signaling and chemotaxis

Summary

Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory, computation, experimental assays, and the control of microenvironments. Integrating new experimental and theoretical methods, Quantitative Biology: From Molecular to Cellular Systems gives both new and established researchers a solid foundation for starting work in this field.

The book is organized into three sections:

  • Fundamental Concepts covers bold ideas that inspire novel approaches in modern quantitative biology. It offers perspectives on evolutionary dynamics, system design principles, chance and memory, and information processing in biology.
  • Methods describes recently developed or improved techniques that are transforming biological research. It covers experimental methods for studying single-molecule biochemistry, small-angle scattering from biomolecules, subcellular localization of proteins, and single-cell behavior. It also describes theoretical methods for synthetic biology and modeling random variations among cells.
  • Molecular and Cellular Systems focuses on specific biological systems where modern quantitative biology methods are making an impact. It incorporates case studies of biological systems for which new concepts or methods are increasing our understanding. Examples include protein kinase at the molecular level, the genetic switch of phage lambda at the regulatory system level, and Escherichia coli chemotaxis at the cellular level.

In short, Quantitative Biology presents practical tools for the observation, modeling, design, and manipulation of biological systems from the molecular to the cellular levels.

Table of Contents

Free Energies, Landscapes, and Fitness in Evolution Dynamics, Robert H. Austin
System Design Principles, Michael A. Savageau
Chance and Memory, Theodore J. Perkins, Andrea Y. Weiße, and Peter S. Swain
Information Theory and Adaptation, Ilya Nemenman
Quantitative In Vitro Biochemistry, One Molecule at a Time, Jeffrey A. Hanson and Haw Yang
Small-Angle Scattering, Cy M. Jeffries and Jill Trewhella
Subcellular Signaling Dynamics, Jeffrey J. Saucerman and Jin Zhang
Single-Cell Behavior, Philippe Cluzel
Modeling Genetic Parts for Synthetic Biology, Ying-Ja Chen, Kevin Clancy and Christopher A. Voigt
Modeling Cellular Variability, Brian Munsky
PKA: Prototype for Dynamic Signaling in Time and Space, Susan S. Taylor and Alexandr P. Kornev
Stochastic Simulation of the Phage Lambda Gene Regulatory Circuitry, John W. Little and Adam P. Arkin
Chemotaxis, Howard C. Berg

Editor Bio(s)

Michael E. Wall is with the Computer, Computational, and Statistical Sciences Division  of the Los Alamos National Laboratory in New Mexico.

Downloads / Updates

Resource OS Platform Updated Description Instructions
K11344_Chapter6_Supplement.pdf Cross Platform June 05, 2012 Supplementary Material