RNA Triplet Repeats: Improved Algorithms for Structure Prediction and Interactions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

RNAs composed of Triplet Repeats (TR) have recently attracted much attention in the field of synthetic biology. We study the mimimum free energy (MFE) secondary structures of such RNAs and give improved algorithms to compute the MFE and the partition function. Furthermore, we study the interaction of multiple RNAs and design a new algorithm for computing MFE and partition function for RNA-RNA interactions, improving the previously known factorial running time to exponential. In the case of TR, we show computational hardness but still obtain a parameterized algorithm. Finally, we propose a polynomial-time algorithm for computing interactions from a base set of RNA strands and conduct experiments on the interaction of TR based on this algorithm. For instance, we study the probability that a base pair is formed between two strands with the same triplet pattern, allowing an assessment of a notion of orthogonality between TR.

Original languageEnglish
Title of host publication24th International Workshop on Algorithms in Bioinformatics, WABI 2024
EditorsSolon P. Pissis, Wing-Kin Sung
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773409
DOIs
Publication statusPublished - 1 Aug 2024
Event24th International Workshop on Algorithms in Bioinformatics, WABI 2024 - London, United Kingdom
Duration: 2 Sept 20244 Sept 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume312
ISSN (Print)1868-8969

Conference

Conference24th International Workshop on Algorithms in Bioinformatics, WABI 2024
Country/TerritoryUnited Kingdom
CityLondon
Period2/09/244/09/24

Keywords

  • NP-hardness
  • RNA folding
  • RNA interactions
  • dynamic programming
  • triplet repeats

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