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Topological language for RNA.

Authors :
Huang FW
Reidys CM
Source :
Mathematical biosciences [Math Biosci] 2016 Dec; Vol. 282, pp. 109-120. Date of Electronic Publication: 2016 Oct 20.
Publication Year :
2016

Abstract

In this paper we introduce a novel, context-free grammar, RNAFeatures <superscript>*</superscript> , capable of generating any RNA structure including pseudoknot structures (pk-structure). We represent pk-structures as orientable fatgraphs, which naturally leads to a filtration by their topological genus. Within this framework, RNA secondary structures correspond to pk-structures of genus zero. RNAFeatures <superscript>*</superscript> acts on formal, arc-labeled RNA secondary structures, called λ-structures. λ-structures correspond one-to-one to pk-structures together with some additional information. This information consists of the specific rearrangement of the backbone, by which a pk-structure can be made cross-free. RNAFeatures <superscript>*</superscript> is an extension of the grammar for secondary structures and employs an enhancement by labelings of the symbols as well as the production rules. We discuss how to use RNAFeatures <superscript>*</superscript> to obtain a stochastic context-free grammar for pk-structures, using data of RNA sequences and structures. The induced grammar facilitates fast Boltzmann sampling and statistical analysis. As a first application, we present an O(nlog (n)) runtime algorithm which samples pk-structures based on ninety tRNA sequences and structures from the Nucleic Acid Database (NDB).<br />Availability: the source code for simulation results is available at http://staff.vbi.vt.edu/fenixh/TPstructure.zip. The code is written in C and compiled by Xcode.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)

Subjects

Subjects :
Models, Theoretical
RNA chemistry

Details

Language :
English
ISSN :
1879-3134
Volume :
282
Database :
MEDLINE
Journal :
Mathematical biosciences
Publication Type :
Academic Journal
Accession number :
27773681
Full Text :
https://doi.org/10.1016/j.mbs.2016.10.006