RNA structure prediction: progress and perspective
Biological Physics
2014-08-29 v1 Chemical Physics
Computational Physics
Biomolecules
Abstract
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.
Cite
@article{arxiv.1408.6662,
title = {RNA structure prediction: progress and perspective},
author = {Ya-Zhou Shi and Yuan-Yan Wu and Feng-Hua Wang and Zhi-Jie Tan},
journal= {arXiv preprint arXiv:1408.6662},
year = {2014}
}
Comments
23 pages