ArticleAngewandte Chemie (International ed. in English)2019
Cross-Peaks in Simple Two-Dimensional NMR Experiments from Chemical Exchange of Transverse Magnetisation.
Article in Angewandte Chemie (International ed. in English), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Qualitative analysis of aromatic compounds via 1D TOCSY techniques.Magnetic resonance letters · 2024Article
- Distinct dissociation rates of murine and human norovirus P-domain dimers suggest a role of dimer stability in virus-host interactions.Communications biology · 2022Article
- Two-dimensional NMR lineshape analysis of single, multiple, zero and double quantum correlation experiments.Journal of biomolecular NMR · 2020Article
- NMR Lineshape Analysis of Intrinsically Disordered Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Cross-Peaks in Simple Two-Dimensional NMR Experiments from Chemical Exchange of Transverse Magnetisation.Angewandte Chemie (International ed. in English) · 2019Article
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Abstract
Two-dimensional correlation measurements such as COSY, NOESY, HMQC, and HSQC experiments are central to small-molecule and biomolecular NMR spectroscopy, and commonly form the basis of more complex experiments designed to study chemical exchange occurring during additional mixing periods. However, exchange occurring during chemical shift evolution periods can also influence the appearance of such spectra. While this is often exploited through one-dimensional lineshape analysis ("dynamic NMR"), the analysis of exchange across multiple chemical shift evolution periods has received less attention. Here we report that chemical exchange-induced cross-peaks can arise in even the simplest two-dimensional NMR experiments. These cross-peaks can have highly distorted phases that contain rich information about the underlying exchange process. The quantitative analysis of such peaks, from a single 2D spectrum, can provide a highly accurate characterisation of underlying exchange processes.
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