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.
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Qiang Cui, Ivet Bahar
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