ArticleJournal of biomolecular NMR2014
Performance tuning non-uniform sampling for sensitivity enhancement of signal-limited biological NMR.
Article in Journal of biomolecular NMR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Decoherence Principles and Algorithms for One-Dimensional Nonuniform Sampling Schedules for Multidimensional NMR.Analytical chemistry · 2025Article
- 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
- Rapid quantitativeRSC advances · 2022Article
- 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
- The influence of the probability density function on spectral quality in nonuniformly sampled multidimensional NMR.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2020Article
- 2D J-correlated proton NMR experiments for structural fingerprinting of biotherapeutics.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2019Article
- Nonuniform sampling in multidimensional NMR for improving spectral sensitivity.Methods (San Diego, Calif.) · 2018Article
- Practical Nonuniform Sampling and Non-Fourier Spectral Reconstruction for Multidimensional NMR.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Application of 2D-NMR with room temperature NMR probes for the assessment of the higher order structure of filgrastim.Journal of pharmaceutical and biomedical analysis · 2017Article
- Efficient assignment and NMR analysis of an intact virus using sequential side-chain correlations and DNP sensitization.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Subrandom methods for multidimensional nonuniform sampling.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016Article
- Convex accelerated maximum entropy reconstruction.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016Article
- Deterministic multidimensional nonuniform gap sampling.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015Article
- HN-NCA heteronuclear TOCSY-NH experiment for (1)H(N) and (15)N sequential correlations in ((13)C, (15)N) labelled intrinsically disordered proteins.Journal of biomolecular NMR · 2015Article
- Sensitivity of nonuniform sampling NMR.The journal of physical chemistry. B · 2015Article
- Nonuniform sampling and non-Fourier signal processing methods in multidimensional NMR.Progress in nuclear magnetic resonance spectroscopy · 2014Review
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Authors and funding
4 authors.
Funding
Abstract
Non-uniform sampling (NUS) has been established as a route to obtaining true sensitivity enhancements when recording indirect dimensions of decaying signals in the same total experimental time as traditional uniform incrementation of the indirect evolution period. Theory and experiments have shown that NUS can yield up to two-fold improvements in the intrinsic signal-to-noise ratio (SNR) of each dimension, while even conservative protocols can yield 20-40% improvements in the intrinsic SNR of NMR data. Applications of biological NMR that can benefit from these improvements are emerging, and in this work we develop some practical aspects of applying NUS nD-NMR to studies that approach the traditional detection limit of nD-NMR spectroscopy. Conditions for obtaining high NUS sensitivity enhancements are considered here in the context of enabling (1)H,(15)N-HSQC experiments on natural abundance protein samples and (1)H,(13)C-HMBC experiments on a challenging natural product. Through systematic studies we arrive at more precise guidelines to contrast sensitivity enhancements with reduced line shape constraints, and report an alternative sampling density based on a quarter-wave sinusoidal distribution that returns the highest fidelity we have seen to date in line shapes obtained by maximum entropy processing of non-uniformly sampled data.
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