PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2016 | 4 | 1 |
Tytuł artykułu

Persistent Homology Analysis of RNA

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Topological data analysis has been recently used to extract meaningful information frombiomolecules. Here we introduce the application of persistent homology, a topological data analysis tool, for computing persistent features (loops) of the RNA folding space. The scaffold of the RNA folding space is a complex graph from which the global features are extracted by completing the graph to a simplicial complex via the notion of clique and Vietoris-Rips complexes. The resulting simplicial complexes are characterised in terms of topological invariants, such as the number of holes in any dimension, i.e. Betti numbers. Our approach discovers persistent structural features, which are the set of smallest components to which the RNA folding space can be reduced. Thanks to this discovery, which in terms of data mining can be considered as a space dimension reduction, it is possible to extract a new insight that is crucial for understanding the mechanism of the RNA folding towards the optimal secondary structure. This structure is composed by the components discovered during the reduction step of the RNA folding space and is characterized by minimum free energy.
Wydawca
Rocznik
Tom
4
Numer
1
Opis fizyczny
Daty
otrzymano
2016-09-14
zaakceptowano
2016-11-20
online
2016-12-05
Twórcy
  • School of Science and Technology, Computer Science Division, University of Camerino, 62032, Camerino (MC), Italy
autor
  • School of Science and Technology, Computer Science Division, University of Camerino, 62032, Camerino (MC), Italy
  • Italian National Council of Research, Institute of Applied Mathematics and Information Technologies, 16149, Genova (Ge), Italy,
autor
  • School of Science and Technology, Computer Science Division, University of Camerino, 62032, Camerino (MC), Italy
  • School of Science and Technology, Computer Science Division, University of Camerino, 62032, Camerino (MC), Italy
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_1515_mlbmb-2016-0002
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.