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.
Authors
- Jiří Fukal (ORCID: https://orcid.org/0000-0002-0188-8828)
- Vladimı́r Sychrovský (ORCID: https://orcid.org/0000-0002-9506-9224)
- Miloš Buděšı́nský (ORCID: https://orcid.org/0000-0003-2053-9428)
- Petr Jurečka (ORCID: https://orcid.org/0000-0002-3741-3672)
- Jakub Šebera (ORCID: https://orcid.org/0000-0001-5671-5206)
- Marie Zgarbová (ORCID: https://orcid.org/0000-0003-0719-0268)
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00