  Many recent exciting discoveries have revealed the versatility of RNAs and
their importance in a variety of cellular functions which are strongly coupled
to RNA structures. To understand the functions of RNAs, some structure
prediction models have been developed in recent years. In this review, the
progress in computational models for RNA structure prediction is introduced and
the distinguishing features of many outstanding algorithms are discussed,
emphasizing three dimensional (3D) structure prediction. A promising
coarse-grained model for predicting RNA 3D structure, stability and salt effect
is also introduced briefly. Finally, we discuss the major challenges in the RNA
3D structure modeling.
