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  4. Motional clustering in supra-τ; c; conformational exchange influences NOE cross-relaxation rate
 
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Motional clustering in supra-τ; c; conformational exchange influences NOE cross-relaxation rate

Date Issued
2022-01-01
Author(s)
Kolloff, Christopher  
Mazur, Adam  
Marzinek, Jan K.
Bond, Peter J.
Olsson, Simon
Hiller, Sebastian  
DOI
10.1016/j.jmr.2022.107196
Abstract
Biomolecular spin relaxation processes, such as the NOE, are commonly modeled by rotational τ; c; -tumbling combined with fast motions on the sub-τ; c; timescale. Motions on the supra-τ; c; timescale, in contrast, are considered to be completely decorrelated to the molecular tumbling and therefore invisible. Here, we show how supra-τ; c; dynamics can nonetheless influence the NOE build-up between methyl groups. This effect arises because supra-τ; c; motions can cluster the fast-motion ensembles into discrete states, affecting distance averaging as well as the fast-motion order parameter and hence the cross-relaxation rate. We present a computational approach to estimate methyl-methyl cross-relaxation rates from extensive (>100×τ; c; ) all-atom molecular dynamics (MD) trajectories on the example of the 723-residue protein Malate Synthase G. The approach uses Markov state models (MSMs) to resolve transitions between metastable states and thus to discriminate between sub-τ; c; and supra-τ; c; conformational exchange. We find that supra-τ; c; exchange typically increases NOESY cross-peak intensities. The methods described in this work extend the theory of modeling sub-μs dynamics in spin relaxation and thus contribute to a quantitative estimation of NOE cross-relaxation rates from MD simulations, eventually leading to increased precision in structural and functional studies of large proteins.
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