Abstract
Abstract. Multidimensional, heteronuclear NMR relaxation methods
are used extensively to characterize the dynamics of biological
macromolecules. Acquisition of relaxation datasets on proteins typically
requires significant measurement time, often several days. Accordion
spectroscopy offers a powerful means to shorten relaxation rate measurements
by encoding the “relaxation dimension” into the indirect evolution period in
multidimensional experiments. Time savings can also be achieved by
non-uniform sampling (NUS) of multidimensional NMR data, which is used
increasingly to improve spectral resolution or increase sensitivity per unit
time. However, NUS is not commonly implemented in relaxation experiments,
because most reconstruction algorithms are inherently nonlinear, leading to
problems when estimating signal intensities, relaxation rate constants and
their error bounds. We have previously shown how to avoid these shortcomings
by combining accordion spectroscopy with NUS, followed by data
reconstruction using sparse exponential mode analysis, thereby achieving a
dramatic decrease in the total length of longitudinal relaxation
experiments. Here, we present the corresponding transverse relaxation
experiment, taking into account the special considerations required for its
successful implementation in the framework of the accordion-NUS approach.
We attain the highest possible precision in the relaxation rate constants by
optimizing the NUS scheme with respect to the Cramér–Rao lower bound of
the variance of the estimated parameter, given the total number of sampling
points and the spectrum-specific signal characteristics. The resulting
accordion-NUS R1ρ relaxation experiment achieves comparable
precision in the parameter estimates compared to conventional CPMG (Carr–Purcell–Meiboom–Gill)
R2 or spin-lock R1ρ experiments while saving an order of
magnitude in experiment time.
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