Wu Tzong-Yuan, Hsieh Chi-Chun, Hong Jun-Jie, Chen Chung-Yung, Tsai Yuh-Show
Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li, Taiwan.
BMC Bioinformatics. 2009 May 27;10:160. doi: 10.1186/1471-2105-10-160.
Internal ribosomal entry sites (IRESs) provide alternative, cap-independent translation initiation sites in eukaryotic cells. IRES elements are important factors in viral genomes and are also useful tools for bi-cistronic expression vectors. Most existing RNA structure prediction programs are unable to deal with IRES elements.
We designed an IRES search system, named IRSS, to obtain better results for IRES prediction. RNA secondary structure prediction and comparison software programs were implemented to construct our two-stage strategy for the IRSS. Two software programs formed the backbone of IRSS: the RNAL fold program, used to predict local RNA secondary structures by minimum free energy method; and the RNA Align program, used to compare predicted structures. After complete viral genome database search, the IRSS have low error rate and up to 72.3% sensitivity in appropriated parameters.
IRSS is freely available at this website http://140.135.61.9/ires/. In addition, all source codes, precompiled binaries, examples and documentations are downloadable for local execution. This new search approach for IRES elements will provide a useful research tool on IRES related studies.
内部核糖体进入位点(IRESs)在真核细胞中提供了一种替代的、不依赖帽结构的翻译起始位点。IRES元件是病毒基因组中的重要因素,也是双顺反子表达载体的有用工具。大多数现有的RNA结构预测程序无法处理IRES元件。
我们设计了一个名为IRSS的IRES搜索系统,以在IRES预测方面获得更好的结果。我们实施了RNA二级结构预测和比较软件程序,为IRSS构建了两阶段策略。两个软件程序构成了IRSS的核心:RNAL fold程序,用于通过最小自由能方法预测局部RNA二级结构;以及RNA Align程序,用于比较预测的结构。在完成病毒基因组数据库搜索后,在适当参数下,IRSS具有较低的错误率和高达72.3%的灵敏度。