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Download fileAre Waters around RNA More than Just a Solvent? – An Insight from Molecular Dynamics Simulations
journal contribution
posted on 14.01.2014, 00:00 authored by Petra Kührová, Michal Otyepka, Jiří Šponer, Pavel BanášHydrating
water molecules are believed to be an inherent part of
the RNA structure and have a considerable impact on RNA conformation.
However, the magnitude and mechanism of the interplay between water
molecules and the RNA structure are still poorly understood. In principle,
such hydration effects can be studied by molecular dynamics (MD) simulations.
In our recent MD studies, we observed that the choice of water model
has a visible impact on the predicted structure and structural dynamics
of RNA and, in particular, has a larger effect than type, parametrization,
and concentration of the ions. Furthermore, the water model effect
is sequence dependent and modulates the sequence dependence of A-RNA
helical parameters. Clearly, the sensitivity of A-RNA structural dynamics
to the water model parametrization is a rather spurious effect that
complicates MD studies of RNA molecules. These results nevertheless
suggest that the sequence dependence of the A-RNA structure, usually
attributed to base stacking, might be driven by the structural dynamics
of specific hydration. Here, we present a systematic MD study that
aimed to (i) clarify the atomistic mechanism of the water model sensitivity
and (ii) discover whether and to what extent specific hydration modulates
the A-RNA structural variability. We carried out an extended set of
MD simulations of canonical A-RNA duplexes with TIP3P, TIP4P/2005,
TIP5P, and SPC/E explicit water models and found that different water
models provided a different extent of water bridging between 2′-OH
groups across the minor groove, which in turn influences their distance
and consequently also inclination, roll, and slide parameters. Minor
groove hydration is also responsible for the sequence dependence of
these helical parameters. Our simulations suggest that TIP5P is not
optimal for RNA simulations.