Department of Biochemistry and Biophysics and Center for RNA Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York 14642, USA.
Cold Spring Harb Perspect Biol. 2010 Dec;2(12):a003665. doi: 10.1101/cshperspect.a003665. Epub 2010 Aug 4.
Optimal exploitation of the expanding database of sequences requires rapid finding and folding of RNAs. Methods are reviewed that automate folding and discovery of RNAs with algorithms that couple thermodynamics with chemical mapping, NMR, and/or sequence comparison. New functional noncoding RNAs in genome sequences can be found by combining sequence comparison with the assumption that functional noncoding RNAs will have more favorable folding free energies than other RNAs. When a new RNA is discovered, experiments and sequence comparison can restrict folding space so that secondary structure can be rapidly determined with the help of predicted free energies. In turn, secondary structure restricts folding in three dimensions, which allows modeling of three-dimensional structure. An example from a domain of a retrotransposon is described. Discovery of new RNAs and their structures will provide insights into evolution, biology, and design of therapeutics. Applications to studies of evolution are also reviewed.
为了充分利用不断扩展的序列数据库,需要快速寻找和折叠 RNA。本文综述了利用将热力学与化学作图、NMR 和/或序列比较相结合的算法自动折叠和发现 RNA 的方法。通过将序列比较与假设功能非编码 RNA 将比其他 RNA 具有更有利的折叠自由能相结合,可以在基因组序列中发现新的功能非编码 RNA。当发现新的 RNA 时,可以通过实验和序列比较来限制折叠空间,以便在预测自由能的帮助下快速确定二级结构。反过来,二级结构又限制了三维折叠,从而允许对三维结构进行建模。本文以逆转录转座子的一个结构域为例进行了描述。发现新的 RNA 及其结构将有助于深入了解进化、生物学和治疗剂的设计。本文还综述了这些方法在进化研究中的应用。