ABSTRACT
The prediction of RNA 3D structure is an important yet challenging
task. Techniques used to predict RNA structure must balance com-
putational expense with desired accuracy. One technique that has
arisen to meet this balance is that of coarse-grained models. Here,
we discuss existing frameworks involving coarse-grained modeling
of RNA 3D structure. Basic RNA structure is first introduced. Then,
the coarse-grained models are divided into two groups: fragment
based and physics based. The models are presented in detail
to understand the advances and limitations of the field. Finally,
conclusions, challenges, and avenues for improvement are tendered,
understanding that coarse-grainedmodeling techniques fill a salient
niche in the field of RNA structure prediction.
