Ribonucleic acid (RNA) is a linear polymer of nucleotides arranged in a sequence referred to as a backbone. This sequence is made of four different types of nucleotides, known as Adenine (A), Guanine (G), Cytosine (C) and Uracil (U), and folds back on itself creating complex shapes, known as secondary structures. RNA secondary structures comparison is a fundamental task in several studies, among which RNA structure prediction and evolution. The comparison can currently be done efficient only for pseudoknot-free structures due to their inherent tree representation. In this work, we introduce an algebraic language to represent both pseudoknot-free and pseudoknotted motifs that induces RNA trees permitting an efficient comparison of RNA secondary structures of any kind. For each structure, a unique extended RNA tree is derived from a tree grammar based on operators concatenation, nesting and crossing. From an extended RNA tree, an abstraction is defined in which the primary structure is neglected. The resulting structural RNA tree allows us to defined a measure of similarity calculated exploiting classical tree alignment algorithms.

Alignment tree for RNA pseudoknots

Michela Quadrini;Emanuela Merelli;Luca Tesei
2018-01-01

Abstract

Ribonucleic acid (RNA) is a linear polymer of nucleotides arranged in a sequence referred to as a backbone. This sequence is made of four different types of nucleotides, known as Adenine (A), Guanine (G), Cytosine (C) and Uracil (U), and folds back on itself creating complex shapes, known as secondary structures. RNA secondary structures comparison is a fundamental task in several studies, among which RNA structure prediction and evolution. The comparison can currently be done efficient only for pseudoknot-free structures due to their inherent tree representation. In this work, we introduce an algebraic language to represent both pseudoknot-free and pseudoknotted motifs that induces RNA trees permitting an efficient comparison of RNA secondary structures of any kind. For each structure, a unique extended RNA tree is derived from a tree grammar based on operators concatenation, nesting and crossing. From an extended RNA tree, an abstraction is defined in which the primary structure is neglected. The resulting structural RNA tree allows us to defined a measure of similarity calculated exploiting classical tree alignment algorithms.
2018
9788867680368
6th Scientific Day of School of Science and Technology, UNICAM
274
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/420135
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