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The trouble with long-range base pairs in RNA folding

  • Fabian Amman
  • , Stephan H. Bernhart
  • , Gero Doose
  • , Ivo L. Hofacker
  • , Jing Qin
  • , Peter F. Stadler
  • , Sebastian Will

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

RNA prediction has long been struggling with long-range base pairs since prediction accuracy decreases with base pair span. We analyze here the empirical distribution of base pair spans in large collection of experimentally known RNA structures. Surprisingly, we find that long-range base pairs are overrepresented in these data. In particular, there is no evidence that long-range base pairs are systematically overpredicted relative to short-range interactions in thermodynamic predictions. This casts doubt on a recent suggestion that kinetic effects are the cause of length-dependent decrease of predictability. Instead of a modification of the energy model we advocate a modification of the expected accuracy model for RNA secondary structures. We demonstrate that the inclusion of a span-dependent penalty leads to improved maximum expected accuracy structure predictions compared to both the standard MEA model and a modified folding algorithm with an energy penalty function. The prevalence of long-range base pairs provide further evidence that RNA structures in general do not have the so-called polymer zeta property. This has consequences for the asymptotic performance for a large class of sparsified RNA folding algorithms.

langue originaleAnglais
titreAdvances in Bioinformatics and Computational Biology - 8th Brazilian Symposium on Bioinformatics, BSB 2013, Proceedings
Pages1-11
Nombre de pages11
Les DOIs
étatPublié - 7 nov. 2013
Modification externeOui
Evénement8th Brazilian Symposium on Bioinformatics, BSB 2013 - Recife, Brésil
Durée: 3 nov. 20137 nov. 2013

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8213 LNBI
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence8th Brazilian Symposium on Bioinformatics, BSB 2013
Pays/TerritoireBrésil
La villeRecife
période3/11/137/11/13

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