Deciphering Dickerson–Drew DNA Equilibrium beyond the BI/BII DNA Dichotomy by Interpretation of 31 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,...
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Published in | Journal of chemical theory and computation |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
16.09.2025
|
Online Access | Get full text |
ISSN | 1549-9618 1549-9626 |
DOI | 10.1021/acs.jctc.5c01076 |
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Summary: | 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
P NMR data in the Dickerson-Drew DNA by integrating a nucleotide conformational classification (NtC) (Černý et al.,
2020,
, 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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ISSN: | 1549-9618 1549-9626 |
DOI: | 10.1021/acs.jctc.5c01076 |