Lorenz Ronny, Wolfinger Michael T, Tanzer Andrea, Hofacker Ivo L
University of Vienna, Faculty of Chemistry, Department of Theoretical Chemistry, Währingerstrasse 17, 1090 Vienna, Austria.
University of Vienna, Faculty of Chemistry, Department of Theoretical Chemistry, Währingerstrasse 17, 1090 Vienna, Austria; Medical University of Vienna, Center for Anatomy and Cell Biology, Währingerstraße 13, 1090 Vienna, Austria.
Methods. 2016 Jul 1;103:86-98. doi: 10.1016/j.ymeth.2016.04.004. Epub 2016 Apr 5.
RNA secondary structures have proven essential for understanding the regulatory functions performed by RNA such as microRNAs, bacterial small RNAs, or riboswitches. This success is in part due to the availability of efficient computational methods for predicting RNA secondary structures. Recent advances focus on dealing with the inherent uncertainty of prediction by considering the ensemble of possible structures rather than the single most stable one. Moreover, the advent of high-throughput structural probing has spurred the development of computational methods that incorporate such experimental data as auxiliary information.
RNA二级结构已被证明对于理解RNA所执行的调控功能至关重要，如微小RNA、细菌小RNA或核糖开关。这一成功部分归功于有高效的计算方法可用于预测RNA二级结构。最近的进展集中在通过考虑可能结构的集合而非单一最稳定结构来处理预测中固有的不确定性。此外，高通量结构探测技术的出现推动了将此类实验数据作为辅助信息纳入的计算方法的发展。
