A Dynamic Structural Model of Expanded RNA CAG Repeats:
A Refined X‑ray Structure and Computational Investigations
Using Molecular Dynamics and Umbrella Sampling Simulations
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Abstract
One
class of functionally important RNA is repeating transcripts
that cause disease through various mechanisms. For example, expanded
CAG repeats can cause Huntington’s and other disease through
translation of toxic proteins. Herein, a crystal structure of r[5′<u>UU</u>GGGC(C<u>A</u>G)<sub>3</sub>GUCC]<sub>2</sub>, a model of CAG expanded transcripts, refined to 1.65 Å
resolution is disclosed that shows both anti–anti and syn–anti
orientations for 1 × 1 nucleotide AA internal loops. Molecular
dynamics (MD) simulations using AMBER force field in explicit solvent
were run for over 500 ns on the model systems r(5′GCGC<u>A</u>GCGC)<sub>2</sub> (MS1) and r(5′CCGC<u>A</u>GCGG)<sub>2</sub> (MS2). In these MD simulations, both
anti–anti and syn–anti AA base pairs appear to be stable.
While anti–anti AA base pairs were dynamic and sampled multiple
anti–anti conformations, no syn–anti ↔ anti–anti
transformations were observed. Umbrella sampling simulations were
run on MS2, and a 2D free energy surface was created to extract transformation
pathways. In addition, an explicit solvent MD simulation over 800
ns was run on r[5′GGGC(C<u>A</u>G)<sub>3</sub>GUCC]<sub>2</sub>, which closely represents the refined crystal
structure. One of the terminal AA base pairs (syn–anti conformation),
transformed to anti–anti conformation. The pathway followed
in this transformation was the one predicted by umbrella sampling
simulations. Further analysis showed a binding pocket near AA base
pairs in syn–anti conformations. Computational results combined
with the refined crystal structure show that global minimum conformation
of 1 × 1 nucleotide AA internal loops in r(CAG) repeats is anti–anti
but can adopt syn–anti depending on the environment. These
results are important to understand RNA dynamic-function relationships
and to develop small molecules that target RNA dynamic ensembles