Quantitative Biology From Molecular to Cellular Systems Chapman & Hall/CRC Mathematical Biology Series

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

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

Free Energies, Landscapes, and Fitness in Evolution Dynamics. System Design Principles. Chance and Memory. Information Theory and Adaptation. Quantitative In Vitro Biochemistry, One Molecule at a Time. Small-Angle Scattering. Subcellular Signaling Dynamics. Single-Cell Behavior. Modeling Genetic Parts for Synthetic Biology. Modeling Cellular Variability. PKA: Prototype for Dynamic Signaling in Time and Space. Stochastic Simulation of the Phage Lambda Gene Regulatory Circuitry. Chemotaxis.

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