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New models and algorithms for RNA pseudoknot order assignment

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Języki publikacji
EN
Abstrakty
EN
The pseudoknot is a specific motif of the RNA structure that highly influences the overall shape and stability of a molecule. It occurs when nucleotides of two disjoint single-stranded fragments of the same chain, separated by a helical fragment, interact with each other and form base pairs. Pseudoknots are characterized by great topological diversity, and their systematic description is still a challenge. In our previous work, we have introduced the pseudoknot order: a new coefficient representing the topological complexity of the pseudoknotted RNA structure. It is defined as the minimum number of base pair set decompositions, aimed to obtain the unknotted RNA structure. We have suggested how it can be useful in the interpretation and understanding of a hierarchy of RNA folding. However, it is not trivial to unambiguously identify pseudoknots and determine their orders in an RNA structure. Therefore, since the introduction of this coefficient, we have worked on the method to reliably assign pseudoknot orders in correspondence to the mechanisms that control the biological process leading to their formation in the molecule. Here, we introduce a novel graph coloring-based model for the problem of pseudoknot order assignment. We show a specialized heuristic operating on the proposed model and an alternative integer programming algorithm. The performance of both approaches is compared with that of state-of-the-art algorithms which so far have been most efficient in solving the problem in question. We summarize the results of computational experiments that evaluate our new methods in terms of classification quality on a representative data set originating from the non-redundant RNA 3D structure repository.
Rocznik
Strony
315--324
Opis fizyczny
Bibliogr. 71 poz., rys., tab.
Twórcy
autor
  • Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland; Poznan Supercomputing and Networking Center, Jana Pawla II 10, 61-131 Poznan, Poland
autor
  • Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
  • Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland
  • Poznan Supercomputing and Networking Center, Jana Pawla II 10, 61-131 Poznan, Poland
  • Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland
  • Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland
Bibliografia
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Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
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