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The Gaussian network model: Theory and applications
Book chapter

The Gaussian network model: Theory and applications

A.J. Rader, Chakra Chennubhotla, Lee-Wei Yang and Ivet Bahar
Normal Mode Analysis: Theory and Applications to Biological and Chemical Systems, pp.41-64
01/2005

Abstract

Medicine (all) Biochemistry Genetics and Molecular Biology (all) Mathematics (all) Chemistry (all)
A view that emerges from many studies is that proteins possess a tendency, encoded in their three-dimensional (3D) structures, to reconfigure into functional forms, that is, each native structure tends to undergo conformational changes that facilitate its biological function. An efficient method for identifying such functional motions is normal mode analysis (NMA), a method that has found widespread use in physical sciences for characterizing molecular fluctuations near a given equilibrium state. The utility of NMAas a physically plausible and mathematically tractable tool for exploring protein dynamics has been recognized for the last 20 years [1, 2].With recent increase in computational power and speed the application of NMA to proteins has gained renewed interest and popularity

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