RNAxplorer: harnessing the power of guiding potentials to sample RNA landscapes | Zendy

Gregor Entzian | Zendy; Ivo L. Hofacker | Zendy; Yann Ponty | Zendy; Ronny Lorenz | Zendy; Andrea Tanzer | Zendy

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RNAxplorer: harnessing the power of guiding potentials to sample RNA landscapes

Author(s) -

Gregor Entzian,

Ivo L. Hofacker,

Yann Ponty,

Ronny Lorenz,

Andrea Tanzer

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab066

Subject(s) - sampling (signal processing) , computer science , folding (dsp implementation) , benchmark (surveying) , similarity (geometry) , granularity , energy landscape , algorithm , theoretical computer science , langevin dynamics , space (punctuation) , data mining , artificial intelligence , statistical physics , physics , geography , electrical engineering , image (mathematics) , computer vision , thermodynamics , engineering , operating system , geodesy , filter (signal processing)

Predicting the folding dynamics of RNAs is a computationally difficult problem, first and foremost due to the combinatorial explosion of alternative structures in the folding space. Abstractions are therefore needed to simplify downstream analyses, and thus make them computationally tractable. This can be achieved by various structure sampling algorithms. However, current sampling methods are still time consuming and frequently fail to represent key elements of the folding space.

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