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Updated: Feb 2, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE
Published on: May 31, 2013
Partitioning and Classification of RNA Secondary Structures into Pseudonotted and Pseudoknot-free Regions Using a
Louis Petingi1, Tamar Schlick2
1Department of Computer Science, College of Staten Island, City University of New York, Staten Island, NY, USA, louis.petingi@csi.cuny.edu.
Abstract:
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.
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