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Partitioning and Classification of RNA Secondary Structures into Pseudonotted and Pseudoknot-free Regions Using a Graph-Theoretical Approach. 使用图论方法将RNA二级结构划分和分类为假无节和假无节区域。
Q3 Computer Science Pub Date : 2017-01-01 Epub Date: 2017-05-24
Louis Petingi, Tamar Schlick

Dual graphs have been applied to model RNA secondary structures with pseudoknots, or intertwined base pairs. In this paper we present a linear-time algorithm to partition dual graphs into maximal topological components called blocks and determine whether each block contains a pseudoknot or not. We show that a block contains a pseudoknot if and only if the block has a vertex of degree 3 or more; this characterization allows us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, while keeping these sub-structures intact. Applications to RNA design can be envisioned since modular building blocks with intact pseudoknots can be combined to form new constructs.

对偶图已被应用于模拟具有假结或交织碱基对的RNA二级结构。本文提出了一种线性时间算法,将对偶图划分为称为块的最大拓扑分量,并确定每个块是否包含伪结。我们证明了一个块包含一个假结,当且仅当该块有一个3度或更大的顶点;这种特性使我们能够有效地分离较小的RNA片段,并将其分类为假结或无假结区域,同时保持这些亚结构的完整性。RNA设计的应用是可以设想的,因为具有完整假结的模块化构建块可以组合形成新的构建体。
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IAENG International Journal of Computer Science
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