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Dynamical Models of Chemical Exchange in Nuclear Magnetic Resonance Spectroscopy
Author(s) -
Nicolas Daffern,
Christopher T. Nordyke,
Meiling Zhang,
Arthur G. Palmer,
John E. Straub
Publication year - 2021
Publication title -
the biophysicist
Language(s) - English
Resource type - Journals
ISSN - 2578-6970
DOI - 10.35459/tbp.2021.000201
Subject(s) - chemical shift , nuclear magnetic resonance spectroscopy , chemical dynamics , chemistry , chemical physics , chemical equilibrium , spectroscopy , chemical species , statistical physics , nuclear magnetic resonance , physics , quantum mechanics , organic chemistry
Chemical exchange line broadening is an important phenomenon in nuclear magnetic resonance (NMR) spectroscopy, in which a nuclear spin experiences more than one magnetic environment as a result of chemical or conformational changes of a molecule. The dynamic process of chemical exchange strongly affects the sensitivity and resolution of NMR experiments and increasingly provides a powerful probe of the interconversion between chemical and conformational states of proteins, nucleic acids, and other biologic macromolecules. A simple and often used theoretic description of chemical exchange in NMR spectroscopy is based on an idealized 2-state jump model (the random phase or telegraph signal). However, chemical exchange can also be represented as a barrier crossing event that can be modeled by using chemical reaction rate theory. The timescale of crossing is determined by the barrier height, the temperature, and the dissipation modeled as collisional or frictional damping. This tutorial explores the connection between the NMR theory of chemical exchange line broadening and strong collision models for chemical kinetics in statistical mechanics. Theoretic modeling and numeric simulation are used to map the rate of barrier crossing dynamics of a particle on a potential energy surface to the chemical exchange relaxation rate constant. By developing explicit models for the exchange dynamics, the tutorial aims to elucidate the underlying dynamical processes that give rise to the rich phenomenology of chemical exchange observed in NMR spectroscopy. Software for generating and analyzing the numeric simulations is provided in the form of Python and Fortran source codes.

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