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Expected distance between terminal nucleotides of RNA secondary structures

机译:RNA二级结构末端核苷酸之间的预期距离

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In "The ends of a large RNA molecule are necessarily close", Yoffe et al. (Nucleic Acids Res 39(1):292-299, 2011) used the programs RNAfold [resp. RNAsubopt] from Vienna RNA Package to calculate the distance between 5′ and 3′ ends of the minimum free energy secondary structure [resp. thermal equilibrium structures] of viral and random RNA sequences. Here, the 5′-3′ distance is defined to be the length of the shortest path from 5′ node to 3′ node in the undirected graph, whose edge set consists of edges {i, i+ 1} corresponding to covalent backbone bonds and of edges {i, j} corresponding to canonical base pairs. From repeated simulations and using a heuristic theoretical argument, Yoffe et al. conclude that the 5′-3′ distance is less than a fixed constant, independent of RNA sequence length. In this paper, we provide a rigorous, mathematical framework to study the expected distance from 5′ to 3′ ends of an RNA sequence. We present recurrence relations that precisely define the expected distance from 5′ to 3′ ends of an RNA sequence, both for the Turner nearest neighbor energy model, as well as for a simple homopolymer model first defined by Stein and Waterman. We implement dynamic programming algorithms to compute (rather than approximate by repeated application of Vienna RNA Package) the expected distance between 5′ and 3′ ends of a given RNA sequence, with respect to the Turner energy model. Using methods of analytical combinatorics, that depend on complex analysis, we prove that the asymptotic expected 5′-3′ distance 〈d _n〉 of length n homopolymers is approximately equal to the constant 5.47211, while the asymptotic distance is 6.771096 if hairpins have a minimum of 3 unpaired bases and the probability that any two positions can form a base pair is 1/4. Finally, we analyze the 5′-3′ distance for secondary structures from the STRAND database, and conclude that the 5′-3′ distance is correlated with RNA sequence length.
机译:Yoffe等人在“大RNA分子的末端必定接近”一文中。 (Nucleic Acids Res 39(1):292-299,2011)使用了RNAfold程序[resp。 Vienna RNA Package提供的“ RNAsubopt”来计算最小自由能二级结构的5'和3'末端之间的距离[resp。病毒和随机RNA序列的热平衡结构]。在这里,5'-3'距离定义为无向图中从5'节点到3'节点的最短路径的长度,其边集由对应于共价主链键的边{i,i + 1}和对应于规范碱基对的边{i,j}。通过重复的模拟并使用启发式理论,Yoffe等人。得出的结论是5'-3'距离小于固定常数,与RNA序列长度无关。在本文中,我们提供了一个严格的数学框架来研究RNA序列从5'到3'末端的预期距离。我们提出的递归关系精确地定义了RNA序列从5'到3'末端的预期距离,既适用于Turner最近邻能量模型,也适用于首先由Stein和Waterman定义的简单均聚物模型。我们使用动态编程算法来计算(而不是通过重复应用Vienna RNA Package进行近似计算)相对于Turner能量模型而言,给定RNA序列5'和3'末端之间的预期距离。使用依赖于复杂分析的分析组合方法,我们证明了长度为n的均聚物的5'-3'渐近预期距离d近似等于常数5.47211,而如果发夹具有至少3个不成对的碱基,任意两个位置可以形成碱基对的概率为1/4。最后,我们从STRAND数据库中分析了二级结构的5'-3'距离,并得出5'-3'距离与RNA序列长度相关的结论。

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