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Fang Z, Chen B, Huang C, Yuan Y, Luo Y, Wu L, Chen Y, Huang Y, Yang Y, Lin E, Chen Z. SCREENES: Enhancing non-uniform sampling reconstruction for symmetrical NMR spectroscopy. Anal Chim Acta 2024; 1303:342510. [PMID: 38609260 DOI: 10.1016/j.aca.2024.342510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Symmetrical NMR spectroscopy, such as Total Correlation Spectroscopy (TOCSY) and other homonuclear spectroscopy, displays symmetry in chemical shift but are generally not symmetrical in terms of intensity, which constitutes a pivotal branch of multidimensional NMR spectroscopy and offers a robust tool for elucidating the structures and dynamics of complex samples, particularly in the context of biological macromolecules. Non-Uniform Sampling (NUS) stands as a critical technique for accelerating multidimensional NMR experiments. However, symmetrical NMR spectroscopy inherently presents dynamic peak intensities, where cross peaks tend to be substantially weaker compared to diagonal peaks. Recovering these weaker cross peaks from NUS data poses a significant challenge, often resulting in compromised data quality. RESULTS We enhance the reconstruction quality of NUS symmetrical NMR spectroscopy based on the assumption that the asymmetry in intensity is mild. Regarding the sampling schedule, we employ the symmetrical sampling structure integrated with Poisson sampling schedule to enhance the efficiency of data acquisition. In term of the reconstruction algorithm, we propose the new method by incorporating hard and soft symmetrical constraints into our recently developed L1-norm-based Compressed Sensing (CS) method known as Sparse Complex-valued REconstruction Enabled by Newton method (SCREEN). Additionally, we propose a two-step reconstruction strategy that separately addresses diagonal and cross peaks. In this two-step strategy, cross peaks are effectively reconstructed by excluding the stronger diagonal peaks. Extensive experimental results validate the effectiveness of our proposed methodology. SIGNIFICANCE This method enhances the overall quality of the reconstructed NUS symmetrical NMR spectra, especially in terms of cross peaks, thereby enriching the interpretation of spectral information. Furthermore, it boosts the robustness towards regularization parameters, facilitating a user-friendly experience.
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Affiliation(s)
- Ze Fang
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Bo Chen
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Chengda Huang
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China; School of Ocean Information Engineering, Jimei University, Xiamen, Fujian, 361021, China
| | - Yifei Yuan
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Yao Luo
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Liubin Wu
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Yida Chen
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Yuqing Huang
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Yu Yang
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China
| | - Enping Lin
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China.
| | - Zhong Chen
- Department of Electronic Science, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian, 361005, China.
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Koscielniak J, Li J, Sail D, Swenson R, Anklin C, Rozovsky S, Byrd RA. Exploring Sulfur Sites in Proteins via Triple-Resonance 1H-Detected 77Se NMR. J Am Chem Soc 2023; 145. [PMID: 37906952 PMCID: PMC10655107 DOI: 10.1021/jacs.3c07225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 11/02/2023]
Abstract
NMR spectroscopy has been applied to virtually all sites within proteins and biomolecules; however, the observation of sulfur sites remains very challenging. Recent studies have examined 77Se as a replacement for sulfur and applied 77Se NMR in both the solution and solid states. As a spin-1/2 nuclide, 77Se is attractive as a probe of sulfur sites, and it has a very large chemical shift range (due to a large chemical shift anisotropy), which makes it potentially very sensitive to structural and/or binding interactions as well as dynamics. Despite being a spin-1/2 nuclide, there have been rather limited studies of 77Se, and the ability to use 1H-indirect detection has been sparse. Some examples exist, but in the absence of a directly bonded, nonexchangeable 1H, these have been largely limited to smaller molecules. We develop and illustrate approaches using double-labeling of 13C and 77Se in proteins that enable more sensitive triple-resonance schemes via multistep coherence transfers and 1H-detection. These methods require specialized hardware and decoupling schemes, which we developed and will be discussed.
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Affiliation(s)
- Janusz Koscielniak
- Leidos
Biomedical Research, Inc., Frederick, Maryland 21702, United States
| | - Jess Li
- Center
for Structural Biology, National Cancer
Institute, Frederick, Maryland 21702-1201, United States
| | - Deepak Sail
- Chemistry
and Synthesis Center, National Heart Lung
and Blood Institute, Bethesda, Maryland 20814, United States
| | - Rolf Swenson
- Chemistry
and Synthesis Center, National Heart Lung
and Blood Institute, Bethesda, Maryland 20814, United States
| | - Clemens Anklin
- Bruker
BioSpin Corp., Billerica, Massachusetts 01821, United States
| | - Sharon Rozovsky
- Department
of Chemistry and Biochemistry, University
of Delaware, Newark, Delaware 19716, United States
| | - R. Andrew Byrd
- Center
for Structural Biology, National Cancer
Institute, Frederick, Maryland 21702-1201, United States
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Cullen LE, Marchiori A, Rovnyak D. Revisiting aliasing noise to build more robust sparsity in nonuniform sampling 2D-NMR. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:337-344. [PMID: 36852760 DOI: 10.1002/mrc.5340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/17/2023] [Accepted: 02/24/2023] [Indexed: 05/11/2023]
Abstract
A continuing priority is to better understand and resolve the barriers to using nonuniform sampling (NUS) in challenging small molecule 2D NMR with subsampling of the Nyquist grid (a.k.a. coverage) below 50%. Possible causes for artifacts, often termed sampling noise, in 1D-NUS of 2D-NMR are revisited here, where weak aliasing artifacts are a growing concern as NUS becomes sparser. As NUS schedules become sparser, repeat sequences are shown to occur in the dense sampling regions early in the sampling schedule, causing aliasing artifacts in resulting spectra. An intuitive screening approach that detects patterns in sampling schedules based on a convolutional filter was implemented. Sampling schedules that have low proportions of repeat sequences show significantly reduced artifacts. Another route to remediate early repeat sequences is a short period of uniform sampling at the beginning of the schedule, which also leads to a significant suppression of unwanted sampling noise. Combining the repeat sequence filter with a survey of HSQC and LR-HSQMBC experiments, it is shown that very short initial uniform regions of about 2%-4% of the sampling space can ameliorate repeat sequences in sparser NUS and lead to robust spectral reconstructions by iterative soft thresholding (IST), even when the point spread function is unchanged. Using the principles developed here, a suite of 'one-click' schedules was developed for broader use.
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Affiliation(s)
- Lucille E Cullen
- Department of Chemistry, Bucknell University, Lewisburg, Pennsylvania, 17837, USA
| | - Alan Marchiori
- Department of Computer Science, Bucknell University, Lewisburg, Pennsylvania, 17837, USA
| | - David Rovnyak
- Department of Chemistry, Bucknell University, Lewisburg, Pennsylvania, 17837, USA
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Craft DL, Schuyler AD. nus-tool: A unified program for generating and analyzing sample schedules for nonuniformly sampled NMR experiments. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2023; 352:107458. [PMID: 37146525 DOI: 10.1016/j.jmr.2023.107458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/11/2023] [Accepted: 04/15/2023] [Indexed: 05/07/2023]
Abstract
Increases in digital resolution achieved by high-field NMR require increases in spectral width. Additionally, the ability to resolve two overlapping peaks requires a sufficiently long acquisition time. These constraints combine, so that achieving high resolution spectra on high-field magnets requires long experiment times when employing uniform sampling and Fourier Transform processing. These limitations may be addressed by using nonuniform sampling (NUS), but the complexity of the parameter space across the variety of available NUS schemes greatly hinders the establishment of optimal approaches and best practices. We address these challenges with nus-tool, which is a software package for generating and analyzing NUS schedules. The nus-tool software internally implements random sampling and exponentially biased sampling. Through pre-configured plug-ins, it also provides access to quantile sampling and Poisson gap sampling. The software computes the relative sensitivity, mean evolution time, point spread function, and peak-to-sidelobe ratio; all of which can be determined for a candidate sample schedule prior to running an experiment to verify expected sensitivity, resolution, and artifact suppression. The nus-tool package is freely available on the NMRbox platform through an interactive GUI and via the command line, which is especially useful for scripted workflows that investigate the effectiveness of various NUS schemes.
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Affiliation(s)
- D Levi Craft
- UConn Health, Molecular Biology and Biophysics, Farmington 06030, CT, USA
| | - Adam D Schuyler
- UConn Health, Molecular Biology and Biophysics, Farmington 06030, CT, USA.
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Jahangiri A, Han X, Lesovoy D, Agback T, Agback P, Achour A, Orekhov V. NMR spectrum reconstruction as a pattern recognition problem. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2023; 346:107342. [PMID: 36459916 DOI: 10.1016/j.jmr.2022.107342] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/15/2022] [Accepted: 11/19/2022] [Indexed: 06/17/2023]
Abstract
A new deep neural network based on the WaveNet architecture (WNN) is presented, which is designed to grasp specific patterns in the NMR spectra. When trained at a fixed non-uniform sampling (NUS) schedule, the WNN benefits from pattern recognition of the corresponding point spread function (PSF) pattern produced by each spectral peak resulting in the highest quality and robust reconstruction of the NUS spectra as demonstrated in simulations and exemplified in this work on 2D 1H-15N correlation spectra of three representative globular proteins with different sizes: Ubiquitin (8.6 kDa), Azurin (14 kDa), and Malt1 (44 kDa). The pattern recognition by WNN is also demonstrated for successful virtual homo-decoupling in a 2D methyl 1H-13C - HMQC spectrum of MALT1. We demonstrate using WNN that prior knowledge about the NUS schedule, which so far was not been fully exploited, can be used for designing new powerful NMR processing techniques that surpass the existing algorithmic methods.
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Affiliation(s)
- Amir Jahangiri
- Department of Chemistry and Molecular Biology, Swedish NMR Centre, University of Gothenburg, Box 465, Gothenburg 40530, Sweden
| | - Xiao Han
- Science for Life Laboratory, Department of Medicine, Karolinska Institute, and Division of Infectious Diseases, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Dmitry Lesovoy
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RA, Moscow 117997, Russia
| | - Tatiana Agback
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Box 7015, Uppsala 75007, Sweden
| | - Peter Agback
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Box 7015, Uppsala 75007, Sweden
| | - Adnane Achour
- Science for Life Laboratory, Department of Medicine, Karolinska Institute, and Division of Infectious Diseases, Karolinska University Hospital, Stockholm 17176, Sweden
| | - Vladislav Orekhov
- Department of Chemistry and Molecular Biology, Swedish NMR Centre, University of Gothenburg, Box 465, Gothenburg 40530, Sweden.
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