Deciphering Dickerson–Drew DNA Equilibrium beyond the BI/BII DNA Dichotomy by Interpretation of <sup>31</sup>P NMR Parameters

DNA duplexes exist as dynamic ensembles of interconverting conformations in solution. Conventional nuclear magnetic resonance (NMR) data interpretation often simplifies this behavior by assuming one dominant structure, but multiple substates (such as different backbone conformers) can coexist. Here, we present an approach that refines the interpretation of <sup>31</sup>P NMR data in the Dickerson-Drew DNA by integrating a nucleotide conformational classification (NtC) (Černý et al., <i>Nucleic Acids Research</i> 2020, <b>48</b>, 6367-6381) with molecular dynamics (MD) simulations. By finely classifying backbone conformers into distinct NtC-defined states and using MD to predict their populations, we achieve a more nuanced correspondence between experimental NMR observables and DNA structure-dynamical heterogeneity. Application of this framework demonstrates a radical improvement of NMR data interpretation, thereby enhancing the reliability of deducing DNA conformational equilibria in solution.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-09-16
DOI
https://doi.org/10.1021/acs.jctc.5c01076
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
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article

Deciphering Dickerson–Drew DNA Equilibrium beyond the BI/BII DNA Dichotomy by Interpretation of 31P NMR Parameters

Jiří Fukal, Vladimı́r Sychrovský, Miloš Buděšı́nský, Petr Jurečka et al.
Journal of Chemical Theory and Computation
DNA and Nucleic Acid Chemistry
article

Deciphering Dickerson–Drew DNA Equilibrium beyond the BI/BII DNA Dichotomy by Interpretation of 31P NMR Parameters

Jiří Fukal, Vladimı́r Sychrovský, Miloš Buděšı́nský, Petr Jurečka, Jakub Šebera, Marie Zgarbová
article en

Abstract

DNA duplexes exist as dynamic ensembles of interconverting conformations in solution. Conventional nuclear magnetic resonance (NMR) data interpretation often simplifies this behavior by assuming one dominant structure, but multiple substates (such as different backbone conformers) can coexist. Here, we present an approach that refines the interpretation of <sup>31</sup>P NMR data in the Dickerson-Drew DNA by integrating a nucleotide conformational classification (NtC) (Černý et al., <i>Nucleic Acids Research</i> 2020, <b>48</b>, 6367-6381) with molecular dynamics (MD) simulations. By finely classifying backbone conformers into distinct NtC-defined states and using MD to predict their populations, we achieve a more nuanced correspondence between experimental NMR observables and DNA structure-dynamical heterogeneity. Application of this framework demonstrates a radical improvement of NMR data interpretation, thereby enhancing the reliability of deducing DNA conformational equilibria in solution.

Journal of Chemical Theory and ComputationVol. 21(19)
Czech Academy of Sciences (CZ), Institute of Organic Chemistry (PL), Czech Academy of Sciences, J. Heyrovský Institute of Physical Chemistry (CZ), Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry (CZ), Palacký University Olomouc (CZ)
Openalex Percentile: Top 78%
DNA and Nucleic Acid Chemistry
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Deciphering Dickerson–Drew DNA Equilibrium beyond the BI/BII DNA Dichotomy by Interpretation of <sup>31</sup>P NMR Parameters — Jiří Fukal, Vladimı́r Sychrovský, et al. · Journal of Chemical Theory and Computation (2025) | TGRS Research Map | TGRS