internal loops

  • 文章类型: Journal Article
    RNA分子中准确的“碱基配对”,这导致了RNA二级结构的预测,对于解释未知的生物操作至关重要。最近,COVID-19,一种广泛传播的疾病,造成了很多人死亡,以前所未有的方式影响人类。SARS-CoV-2是一种单链RNA病毒,显示了分析这些分子及其结构的重要性。本文旨在在预测特定RNA结构的方向上创建一个开创性的框架,利用句法模式识别。拟议的框架,Know+,解决了预测H型伪结的问题,包括凸起和内部回路,通过展示上下文无关语法(CFG)的力量。我们将语法的优势与最大碱基配对和最小自由能相结合,以高性能的方式解决这个模糊的任务。具体来说,我们提出的方法,Know+,在核心茎预测的准确性方面优于最先进的框架。此外,它在小序列中表现得更准确,在大序列中表现出相当的准确率,而与知名平台相比,它需要的执行时间更短。Knoto+源代码和实现详细信息作为GitHub上的公共存储库提供。
    The accurate \"base pairing\" in RNA molecules, which leads to the prediction of RNA secondary structures, is crucial in order to explain unknown biological operations. Recently, COVID-19, a widespread disease, has caused many deaths, affecting humanity in an unprecedented way. SARS-CoV-2, a single-stranded RNA virus, has shown the significance of analyzing these molecules and their structures. This paper aims to create a pioneering framework in the direction of predicting specific RNA structures, leveraging syntactic pattern recognition. The proposed framework, Knotify+, addresses the problem of predicting H-type pseudoknots, including bulges and internal loops, by featuring the power of context-free grammar (CFG). We combine the grammar\'s advantages with maximum base pairing and minimum free energy to tackle this ambiguous task in a performant way. Specifically, our proposed methodology, Knotify+, outperforms state-of-the-art frameworks with regards to its accuracy in core stems prediction. Additionally, it performs more accurately in small sequences and presents a comparable accuracy rate in larger ones, while it requires a smaller execution time compared to well-known platforms. The Knotify+ source code and implementation details are available as a public repository on GitHub.
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  • 文章类型: Journal Article
    U6 RNA contains a 1 × 2-nt internal loop that folds and unfold during spliceosomal assembly and activation. The 1 × 2 loop consists of a C67•A79 base pair that forms an additional hydrogen bond upon protonation, C67•A+ 79, and uracil (U80) that coordinates the catalytically essential magnesium ions. We designed a series of RNA and DNA constructs with a 1 × 2 loop sequence contained in the ISL, and its modifications, to measure the thermodynamic effects of protonation and magnesium binding using UV-visible thermal denaturation experiments. We show that the wild-type RNA construct gains 0.43 kcal/mol in 1 M KCl upon lowering the pH from 7.5 to 5.5; the presence of magnesium ions increases its stability by 2.17 kcal/mol at pH 7.5 over 1 M KCl. Modifications of the helix closing base pairs from C-G to U•G causes a loss in protonation-dependent stability and a decrease in stability in the presence of magnesium ions, especially in the C68U construct. A79G single-nucleotide bulge loop construct showed the largest gain in stability in the presence of magnesium ions. The DNA wild-type construct shows a smaller effect on stability upon lowering the pH and in the presence of magnesium ions, highlighting differences in RNA and DNA structures. A U6 RNA 1 × 2 loop sequence is rare in the databases examined.
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