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Normal Mode Analysis: Theory and Applications to Biological and Chemical Systems
Editor(s):  Qiang Cui, University of Wisconsin-Madison, USA;  Ivet Bahar, University of Pittsburgh, Pennsylvania, USA
Series: Chapman & Hall/CRC Mathematical & Computational Biology
Price:  $124.95
Cat. #:  C472X
ISBN:  9781584884729
ISBN 10:  158488472X
Publication Date:  December 12, 2005
Number of Pages:  432
Availability:  In Stock
Binding(s):  Hardback

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Features
  • Presents a broad look at normal mode analysis and its value in cutting-edge research
  • Provides an overview of theory and methods along with state-of-the-art research problems and challenges
  • Explores a wide range of applications, including the analysis of low-resolution cryo-electron microscopy data, x-ray fiber diffraction refinements, and protein motions
  • Stimulates further application and development of NMA-based methods

    • Summary
    Rapid developments in experimental techniques continue to push back the limits in the resolution, size, and complexity of the chemical and biological systems that can be investigated. This challenges the theoretical community to develop innovative methods for better interpreting experimental results. Normal Mode Analysis (NMA) is one such technique. Capable of providing unique insights into the structural and dynamical properties of complex systems, it is now finding a wide range of applications in chemical and biological problems.

    From the fundamental physical ideas to cutting-edge applications and beyond, this book presents a broad overview of normal mode analysis and its value in state-of-the-art research. The first section introduces NMA, examines NMA algorithm development at different resolutions, and explores the application of those techniques in the study of biological systems. Later chapters cover method developments based on or inspired by NMA but going beyond the harmonic approximation inherent in standard NMA techniques.

    Normal mode analysis complements traditional approaches with computational efficiency and applicability to large systems that are beyond the reach of older methods. This book offers a unique opportunity to learn from the experiences of an international, interdisciplinary panel of top researchers and explore the latest developments and applications of NMA to biophysical and chemical problems.