Homonuclear Super‐Resolution NMR Spectroscopy

In homonuclear <sup>1</sup>H NMR (nuclear magnetic resonance) spectra such as [<sup>1</sup>H,<sup>1</sup>H]-NOESY (Nuclear Overhauser Enhancement spectroscopy), which is a historic cornerstone spectrum for biomolecular NMR structural biology, hundreds to thousands of cross peaks are present within a square of approximately 100 ppm<sup>2</sup> leading to a lot of signal overlap. Spectral resolution is thus a limiting factor for unambiguous chemical shift assignment and data interpretation for dynamics and structure elucidation. Acquiring the spectra at higher magnetic fields such as at a 1.2 GHz <sup>1</sup>H frequency helps to reduce spectral crowding, since resolution scales proportionally to the magnetic field strength. Here, we show that the linewidths of cross peaks in [<sup>1</sup>H,<sup>1</sup>H]-NOESY and [<sup>1</sup>H,<sup>1</sup>H]-TOCSY spectra can be further reduced by a factor of 2-3 in each dimension by super-resolution spectroscopy. In the indirect dimension a composite exponential-cosine weighted number of scans along the time increments are recorded and digitally smoothened by a window function, while in the direct dimension an exponential-cosine window function is applied. Furthermore, measurement time saving by reduced-acquisition super-resolution (RASR) is introduced. Application to the 20 kDa protein KRAS shows that highly resolved NMR spectra suitable for automated analysis can be acquired within less than 3 hours. The method opens an avenue towards automated chemical shift assignment, dynamics and structure determination of unlabeled small and medium size proteins within 24 hours.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2024-09-30
DOI
https://doi.org/10.1002/anie.202414324
Citations
4
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.96

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article

Homonuclear Super‐Resolution NMR Spectroscopy

Peter Güntert, Olivia Gampp, Roland Riek, Luca Wenchel
4 citations
Angewandte Chemie International Edition
Advanced NMR Techniques and Applications
0.96
article

Homonuclear Super‐Resolution NMR Spectroscopy

Peter Güntert, Olivia Gampp, Roland Riek, Luca Wenchel
article en
4 citations

Abstract

In homonuclear <sup>1</sup>H NMR (nuclear magnetic resonance) spectra such as [<sup>1</sup>H,<sup>1</sup>H]-NOESY (Nuclear Overhauser Enhancement spectroscopy), which is a historic cornerstone spectrum for biomolecular NMR structural biology, hundreds to thousands of cross peaks are present within a square of approximately 100 ppm<sup>2</sup> leading to a lot of signal overlap. Spectral resolution is thus a limiting factor for unambiguous chemical shift assignment and data interpretation for dynamics and structure elucidation. Acquiring the spectra at higher magnetic fields such as at a 1.2 GHz <sup>1</sup>H frequency helps to reduce spectral crowding, since resolution scales proportionally to the magnetic field strength. Here, we show that the linewidths of cross peaks in [<sup>1</sup>H,<sup>1</sup>H]-NOESY and [<sup>1</sup>H,<sup>1</sup>H]-TOCSY spectra can be further reduced by a factor of 2-3 in each dimension by super-resolution spectroscopy. In the indirect dimension a composite exponential-cosine weighted number of scans along the time increments are recorded and digitally smoothened by a window function, while in the direct dimension an exponential-cosine window function is applied. Furthermore, measurement time saving by reduced-acquisition super-resolution (RASR) is introduced. Application to the 20 kDa protein KRAS shows that highly resolved NMR spectra suitable for automated analysis can be acquired within less than 3 hours. The method opens an avenue towards automated chemical shift assignment, dynamics and structure determination of unlabeled small and medium size proteins within 24 hours.

Angewandte Chemie International EditionVol. 63(50)
Goethe University Frankfurt (DE), ETH Zurich (CH), Wolfgang Pauli Institute (AT), Tokyo Metropolitan University (JP)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Eidgenössische Technische Hochschule Zürich
Openalex Percentile: Top 27%
Advanced NMR Techniques and Applications
0.96
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