Chetouani F, Monestié P, Thébault P, Gaspin C, Michot B
Laboratoire de Biologie Moléculaire Eucaryote du C.N.R.S., Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse Cedex, France.
Nucleic Acids Res. 1997 Sep 1;25(17):3514-22. doi: 10.1093/nar/25.17.3514.
With ESSA, we propose an approach of RNA secondary structure analysis based on extensive viewing within a friendly graphical interface. This computer program is organized around the display of folding models produced by two complementary methods suitable to draw long RNA molecules. Any feature of interest can be managed directly on the display and highlighted by a rich combination of colours and symbols with emphasis given to structural probe accessibilities. ESSA also includes a word searching procedure allowing easy visual identification of structural features even complex and degenerated. Analysis functions make it possible to calculate the thermodynamic stability of any part of a folding using several models and compare homologous aligned RNA both in primary and secondary structure. The predictive capacities of ESSA which brings together the experimental, thermodynamic and comparative methods, are increased by coupling it with a program dedicated to RNA folding prediction based on constraints management and propagation. The potentialities of ESSA are illustrated by the identification of a possible tertiary motif in the LSU rRNA and the visualization of a pseudoknot in S15 mRNA.
借助ESSA,我们提出了一种基于在友好图形界面内进行广泛查看的RNA二级结构分析方法。该计算机程序围绕由两种适用于绘制长RNA分子的互补方法产生的折叠模型显示进行组织。任何感兴趣的特征都可以直接在显示上进行管理,并通过丰富的颜色和符号组合突出显示,重点关注结构探针的可及性。ESSA还包括一个单词搜索程序,即使是复杂和退化的结构特征也能轻松直观地识别。分析功能使得可以使用多种模型计算折叠任何部分的热力学稳定性,并比较一级和二级结构中同源比对的RNA。通过将ESSA与基于约束管理和传播的RNA折叠预测程序相结合,其汇集了实验、热力学和比较方法的预测能力得到了增强。ESSA的潜力通过在LSU rRNA中识别可能的三级基序以及在S15 mRNA中可视化假结得以体现。