70S Ribosome
advanced molecular simulation techniques
atom
Base Pair Step
biomolecular dynamics
C? Atoms
Category=PB
CCMV
Collective Coordinates
Conformational Space
Cα Atoms
elastic
ENM
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Essential Subspace
frequencies
frequency
Gaussian Network Model
harmonic potential theory
L1 Stalk
Linear DNA
Local Packing Density
low
Low Frequency Mode
Low Frequency Normal Modes
lower
macromolecular assemblies
model
modes
network
NM Frequency
NMA
Normal Mode
Normal Mode Calculations
Normal Mode Vectors
PDB Code
Photoactive Yellow Protein
principal component analysis
protein
protein structural refinement
PYP
RMS Deviation
Structural Biology
Vibrational Energy Transfer
vibrational relaxation mechanisms
Product details
- ISBN 9781584884729
- Weight: 748g
- Dimensions: 156 x 234mm
- Publication Date: 12 Dec 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
