An introduction to NMR-based approaches for measuring protein dynamics

Proteins are inherently flexible at ambient temperature. At equilibrium, they are characterized by a set of conformations that undergo continuous exchange within a hierarchy of spatial and temporal scales ranging from nanometers to micrometers and femtoseconds to hours. Dynamic properties of protein...

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Published inBiochimica et biophysica acta Vol. 1814; no. 8; pp. 942 - 968
Main Authors Kleckner, Ian R., Foster, Mark P.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.08.2011
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Summary:Proteins are inherently flexible at ambient temperature. At equilibrium, they are characterized by a set of conformations that undergo continuous exchange within a hierarchy of spatial and temporal scales ranging from nanometers to micrometers and femtoseconds to hours. Dynamic properties of proteins are essential for describing the structural bases of their biological functions including catalysis, binding, regulation and cellular structure. Nuclear magnetic resonance (NMR) spectroscopy represents a powerful technique for measuring these essential features of proteins. Here we provide an introduction to NMR-based approaches for studying protein dynamics, highlighting eight distinct methods with recent examples, contextualized within a common experimental and analytical framework. The selected methods are (1) Real-time NMR, (2) Exchange spectroscopy, (3) Lineshape analysis, (4) CPMG relaxation dispersion, (5) Rotating frame relaxation dispersion, (6) Nuclear spin relaxation, (7) Residual dipolar coupling, (8) Paramagnetic relaxation enhancement. This article is part of a Special Issue entitled: Protein Dynamics: Experimental and Computational Approaches. [Display omitted] ► Internal dynamics of proteins are essential for proper function. ► Protein dynamics can be rigorously studied using NMR spectroscopy. ► Eight distinct NMR based approaches are discussed with recent examples. ► The process of analyzing complex experimental data is generalized into a common model-based framework.
Bibliography:http://dx.doi.org/10.1016/j.bbapap.2010.10.012
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ISSN:1570-9639
0006-3002
1878-1454
DOI:10.1016/j.bbapap.2010.10.012