Articles | Volume 2, issue 2
https://doi.org/10.5194/mr-2-843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/mr-2-843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Nov 2021
Research article |
| 25 Nov 2021
| 25 Nov 2021
NUScon: a community-driven platform for quantitative evaluation of nonuniform sampling in NMR
Yulia Pustovalova
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
Frank Delaglio
Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology and the University of Maryland, Rockville, MD 20850, USA
D. Levi Craft
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
Haribabu Arthanari
Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
Ad Bax
Laboratory of Chemical Physics, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
Martin Billeter
Department of Chemistry and Molecular Biology, University of Gothenburg, Box 465, Gothenburg 405 30, Sweden
Mark J. Bostock
Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK
Hesam Dashti
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA
D. Flemming Hansen
Department of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK
Sven G. Hyberts
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
Bruce A. Johnson
Structural Biology Initiative, CUNY Advanced Science Research Center, New York, NY 10031, USA
Krzysztof Kazimierczuk
Centre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland
Hengfa Lu
Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
Mark Maciejewski
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
Tomas M. Miljenović
Centre for Advanced Imaging, The University of Queensland, 4072 St Lucia, Queensland, Australia
Mehdi Mobli
Centre for Advanced Imaging, The University of Queensland, 4072 St Lucia, Queensland, Australia
Daniel Nietlispach
Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK
Vladislav Orekhov
Department of Chemistry and Molecular Biology, University of Gothenburg, Box 465, Gothenburg 405 30, Sweden
Robert Powers
Department of Chemistry and Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA
Xiaobo Qu
Department of Electronic Science, Biomedical Intelligent Cloud R&D Center, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China
Scott Anthony Robson
Department of Molecular and Cellular Biochemistry, Indiana University, Bloomington, IN 47405, USA
David Rovnyak
Department of Chemistry, Bucknell University, Lewisburg, PA 17837, USA
Gerhard Wagner
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
Jinfa Ying
Laboratory of Chemical Physics, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
Matthew Zambrello
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
Jeffrey C. Hoch
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
David L. Donoho
Department of Statistics, Stanford University, Stanford, CA 94305, USA
Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT 06030, USA
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Cited
6 citations as recorded by crossref.
- Beyond traditional magnetic resonance processing with artificial intelligence A. Jahangiri & V. Orekhov 10.1038/s42004-024-01325-w
- Exploring Sulfur Sites in Proteins via Triple-Resonance 1H-Detected 77Se NMR J. Koscielniak et al. 10.1021/jacs.3c07225
- NMR spectrum reconstruction as a pattern recognition problem A. Jahangiri et al. 10.1016/j.jmr.2022.107342
- SCREENES: Enhancing non-uniform sampling reconstruction for symmetrical NMR spectroscopy Z. Fang et al. 10.1016/j.aca.2024.342510
- nus-tool: A unified program for generating and analyzing sample schedules for nonuniformly sampled NMR experiments D. Craft & A. Schuyler 10.1016/j.jmr.2023.107458
- Revisiting aliasing noise to build more robust sparsity in nonuniform sampling 2D‐NMR L. Cullen et al. 10.1002/mrc.5340
6 citations as recorded by crossref.
- Beyond traditional magnetic resonance processing with artificial intelligence A. Jahangiri & V. Orekhov 10.1038/s42004-024-01325-w
- Exploring Sulfur Sites in Proteins via Triple-Resonance 1H-Detected 77Se NMR J. Koscielniak et al. 10.1021/jacs.3c07225
- NMR spectrum reconstruction as a pattern recognition problem A. Jahangiri et al. 10.1016/j.jmr.2022.107342
- SCREENES: Enhancing non-uniform sampling reconstruction for symmetrical NMR spectroscopy Z. Fang et al. 10.1016/j.aca.2024.342510
- nus-tool: A unified program for generating and analyzing sample schedules for nonuniformly sampled NMR experiments D. Craft & A. Schuyler 10.1016/j.jmr.2023.107458
- Revisiting aliasing noise to build more robust sparsity in nonuniform sampling 2D‐NMR L. Cullen et al. 10.1002/mrc.5340
Latest update: 21 Nov 2024
Short summary
We present the ongoing work of a large, community initiative to establish standards for the processing of nonuniformly sampled NMR experiments. The NUScon software, contest, and archive of spectral evaluation data provide a comprehensive platform for addressing the most challenging questions related to NUS experiments. We will run annual contests and generate a database of results, which will empower us in guiding the NUS community towards a set of best practices.
We present the ongoing work of a large, community initiative to establish standards for the...
