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TRFolder:酵母基因组中新型端粒酶RNA结构的计算预测

TRFolder: computational prediction of novel telomerase RNA structures in yeast genomes.

作者信息

Guo Leilei, Zhang Dong, Wang Yingfeng, Malmberg Russell L, McEachern Michael, Cai Liming

机构信息

Department of Genetics, University of Georgia, Athens, GA 30602, USA.

出版信息

Int J Bioinform Res Appl. 2011;7(1):63-81. doi: 10.1504/IJBRA.2011.039170.

Abstract

The identification of Telomerase RNAs (TRs) has been difficult owing to their rapid evolutionary divergence. The common core structure found in all known TRs contains a pseudoknot and a triple helix, which are beyond the capability of existing RNA-structure-profiling techniques. We describe a novel approach to predict the structure of key TR features and to aid the identification of TRs in genomes, using a program we developed, TRFolder. We applied our method to confirm and improve previously studied core structures from Saccharomyces and Kluyveromyces TRs. We made novel structural predictions of core elements of the TRs from Schizosaccharomyces pombe, Candida albicans, and several other yeast species.

摘要

由于端粒酶RNA(TRs)快速的进化分歧,其鉴定一直颇具难度。在所有已知TRs中发现的共同核心结构包含一个假结和一个三链螺旋,这超出了现有RNA结构分析技术的能力范围。我们描述了一种新方法,使用我们开发的程序TRFolder来预测关键TR特征的结构,并辅助在基因组中鉴定TRs。我们应用我们的方法来确认和改进先前研究的酿酒酵母和克鲁维酵母TRs的核心结构。我们对粟酒裂殖酵母、白色念珠菌和其他几种酵母物种的TRs核心元件进行了新的结构预测。

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