ArticleJournal of biomolecular NMR2015
Efficient and generalized processing of multidimensional NUS NMR data: the NESTA algorithm and comparison of regularization terms.
Article in Journal of biomolecular NMR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- NMR data processing, visualization, analysis and structure calculation with NMRFx.Communications chemistry · 2025Article
- Exploring Sulfur Sites in Proteins via Triple-ResonanceJournal of the American Chemical Society · 2023Article
- Non-uniform sampling of similar NMR spectra and its application to studies of the interaction between alpha-synuclein and liposomes.Journal of biomolecular NMR · 2023Article
- nus-tool: A unified program for generating and analyzing sample schedules for nonuniformly sampled NMR experiments.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023Article
- Structural Plasticity of Pioneer Factor Sox2 and DNA Bendability Modulate Nucleosome Engagement and Sox2-Oct4 Synergism.Journal of molecular biology · 2023Article
- Clustered sparsity and Poisson-gap sampling.Journal of biomolecular NMR · 2021Article
- Conserved allosteric ensembles in disordered proteins using TROSY/anti-TROSY RBiophysical journal · 2021Article
- NUScon: a community-driven platform for quantitative evaluation of nonuniform sampling in NMR.Magnetic resonance (Gottingen, Germany) · 2021Article
- Principal component analysis for automated classification of 2D spectra and interferograms of protein therapeutics: influence of noise, reconstruction details, and data preparation.Journal of biomolecular NMR · 2020Article
- Non-Uniform Sampling in NMR Spectroscopy and the Preservation of Spectral Knowledge in the Time and Frequency Domains.The journal of physical chemistry. A · 2020Article
- Backbone Hydrogen Bond Energies in Membrane Proteins Are Insensitive to Large Changes in Local Water Concentration.Journal of the American Chemical Society · 2020Article
- Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra.Journal of biomolecular NMR · 2020Article
- Replacement of the heme axial lysine as a test of conformational adaptability in the truncated hemoglobin THB1.Journal of inorganic biochemistry · 2019Article
- XLSY: Extra-Large NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2018Article
- Replacement of the Distal Histidine Reveals a Noncanonical Heme Binding Site in a 2-on-2 Hemoglobin.Biochemistry · 2018Article
- Non-Uniform and Absolute Minimal Sampling for High-Throughput Multidimensional NMR Applications.Chemistry (Weinheim an der Bergstrasse, Germany) · 2018Review
- Structural and functional analysis of Dickkopf 4 (Dkk4): New insights into Dkk evolution and regulation of Wnt signaling by Dkk and Kremen proteins.The Journal of biological chemistry · 2018Article
- ISCU(M108I) and ISCU(D39V) Differ from Wild-Type ISCU in Their Failure To Form Cysteine Desulfurase Complexes Containing Both Frataxin and Ferredoxin.Biochemistry · 2018Article
- Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data.Journal of biomolecular NMR · 2017Article
- Pitfalls in compressed sensing reconstruction and how to avoid them.Journal of biomolecular NMR · 2017Article
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5 authors.
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Abstract
The advantages of non-uniform sampling (NUS) in offering time savings and resolution enhancement in NMR experiments have been increasingly recognized. The possibility of sensitivity gain by NUS has also been demonstrated. Application of NUS to multidimensional NMR experiments requires the selection of a sampling scheme and a reconstruction scheme to generate uniformly sampled time domain data. In this report, an efficient reconstruction scheme is presented and used to evaluate a range of regularization algorithms that collectively yield a generalized solution to processing NUS data in multidimensional NMR experiments. We compare l1-norm (L1), iterative re-weighted l1-norm (IRL1), and Gaussian smoothed l0-norm (Gaussian-SL0) regularization for processing multidimensional NUS NMR data. Based on the reconstruction of different multidimensional NUS NMR data sets, L1 is demonstrated to be a fast and accurate reconstruction method for both quantitative, high dynamic range applications (e.g. NOESY) and for all J-coupled correlation experiments. Compared to L1, both IRL1 and Gaussian-SL0 are shown to produce slightly higher quality reconstructions with improved linearity in peak intensities, albeit with a computational cost. Finally, a generalized processing system, NESTA-NMR, is described that utilizes a fast and accurate first-order gradient descent algorithm (NESTA) recently developed in the compressed sensing field. NESTA-NMR incorporates L1, IRL1, and Gaussian-SL0 regularization. NESTA-NMR is demonstrated to provide an efficient, streamlined approach to handling all types of multidimensional NMR data using proteins ranging in size from 8 to 32 kDa.
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