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Pulse Programme Considerations for Quantitative NOE Analysis
Lianne H E Wieske1, Gintarė Lygnugarytė1, Máté Erdélyi1,2
1Department of Chemistry for Life Sciences, Uppsala University, Uppsala, Sweden.
Magnetic Resonance in Chemistry : MRC
|June 23, 2026
Summary
Accurate Nuclear Overhauser Effect (NOE) and Rotating-frame Overhauser Effect (ROE) distance measurements depend heavily on the chosen pulse program and solvent suppression technique. Careful selection is vital for reliable stereochemistry and conformational analysis in chemistry and biology.
Area of Science:
- Nuclear Magnetic Resonance (NMR) spectroscopy
- Structural biology
- Computational chemistry
Background:
- Nuclear Overhauser Effect (NOE) and Rotating-frame Overhauser Effect (ROE) are essential for determining interatomic distances.
- Accurate distance measurements are critical for protein and small molecule structure elucidation.
- Factors influencing NOE/ROE accuracy are often overlooked.
Purpose of the Study:
- To systematically analyze the performance of six common NOESY and ROESY pulse programs for quantitative NOE/ROE analysis.
- To evaluate the impact of solvent suppression schemes on NOE/ROE quantitativity.
- To assess the accuracy of NOE-derived interproton distances.
Main Methods:
- Comparison of six NOESY and ROESY pulse programs.
- Evaluation of data quality based on quantifiable correlations and distance accuracy.
- Assessment of two solvent suppression schemes.
- Application of the initial-rate approximation for NOE/ROE build-up rates.
Main Results:
- Pulse program choice significantly affects the number of quantifiable correlations and distance accuracy.
- Removing spectral data points from build-up curves drastically increases distance errors.
- Excitation sculpting solvent suppression leads to underestimation of NOE-derived distances.
- EASY ROESY without solvent suppression tends to overestimate distances.
Conclusions:
- Quantitative interproton distance determination requires careful selection of the pulse program.
- Solvent suppression methods influence the accuracy of NOE/ROE-derived distances.
- Optimized NMR experimental parameters are crucial for reliable structural analysis.
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