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Evaluation of in silico tools for RNA secondary structures determination, using the Hepatitis C Virus IRES sequence as a model

机译:评估用于RNA二次结构的硅工具测定,使用丙型肝炎病毒IRES序列作为模型

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The Ribonucleic acid (RNA) is a key molecule in different cellular processes, including catalysis. These functions depend not only on nucleotide sequences but also of RNA secondary structure (2D) [1]; this is the case of the extensively characterized IRES structure (Internal Ribosome Entry Site) in Hepatitis C Virus (HCV) RNA [2]. Although experimental techniques are available for studying molecular conformation and folding, their high cost limits a more extended use, therefore bioinformatics programs are currently used for RNA 2D prediction. How dissimilar methods are used in most available in silico tools [3–7] we evaluated the accuracy of five programs for RNA secondary structure prediction, using a HCV IRES domain II as a model [8]. Among assessed tools, MATLAB v7.10.0™ did not generate the expected shape for HCV domain II, resulting in the lowest Sensitivity (S) and Predictive Positive (PPV) values, while RNAShape 2.1.6, RNAstructure v 5.4 and Assemble 1.0.4 predicted the same topology, failing in pairings C19/G62 and G24/A56. Finally, Assemble 2.0 predicted the most acceptable topology of domain II, with the highest S and PPV values. Conclusion: None of the five programs could totally predict the topology of the structural model used.
机译:核糖核酸(RNA)是不同细胞过程中的关键分子,包括催化。这些功能不仅取决于核苷酸序列,还取决于RNA二级结构(2D)[1];这是丙型肝炎病毒(HCV)RNA中广泛表征的IRES结构(内部核糖体进入部位)的情况[2]。尽管实验技术可用于研究分子构象和折叠,但它们的高成本限制更加延长,因此生物信息学程序目前用于RNA 2D预测。在Silico工具中最多使用的不同方法如何使用HCV IRES Domain II作为模型来评估RNA二级结构预测的五个程序的准确性[8]。在评估的工具中,MATLAB V7.10.0™未生成HCV结构域II的预期形状,导致最低灵敏度和预测阳性(PPV)值,而RNASKAPE 2.1.6,RNAXTRUCTURE V 5.4和组装1.0.4预测相同的拓扑,在配对C19 / G62和G24 / A56中失败。最后,组装2.0预测域II最可接受的拓扑,具有最高的S和PPV值。结论:五个方案中的任何一项都不能完全预测所用结构模型的拓扑。

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