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Five magnesium (Mg2+) ion models were compared for RNA simulations. Despite model differences, most accurately simulated RNA conformational shifts, with one model showing artifactual ion binding.

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Area of Science:

  • Computational chemistry
  • Molecular dynamics simulations
  • Biophysics

Background:

  • Magnesium ions (Mg2+) are crucial for RNA structure and function.
  • Accurate modeling of Mg2+ is essential for simulating RNA conformational dynamics.
  • Previous studies have highlighted challenges in representing ion-RNA interactions.

Purpose of the Study:

  • To compare the performance of five different Mg2+ ion models in molecular dynamics simulations.
  • To evaluate the ability of these models to capture an experimentally observed RNA conformational shift.
  • To identify potential artifacts in Mg2+-RNA interactions predicted by different models.

Main Methods:

  • Performing microsecond-length unrestrained molecular dynamics simulations.
  • Utilizing five distinct Mg2+ ion models with varying parametrization and potential forms.
  • Analyzing RNA-Mg2+ interactions, including chelation and solvation effects.
  • Comparing simulation results against experimentally determined conformational shifts.

Main Results:

  • All five Mg2+ models showed similar behavior when RNA adopted its folded conformation.
  • Three of the five models exhibited Mg2+ chelation to RNA, with the 12-6-4 model showing likely artifactual binding.
  • RNA-Mg2+ interactions through first-shell water molecules were well-described by modern parameters.
  • The spontaneous conformational shift from Mg2+-free to Mg2+-associated RNA structure was observed.

Conclusions:

  • Modern Mg2+ models, with few exceptions, can accurately describe RNA-Mg2+ interactions and conformational dynamics.
  • Careful selection of Mg2+ models is necessary to avoid simulation artifacts, such as oversampled directed chelation.
  • These findings advance the accurate computational study of RNA structure and ion-dependent processes.