Literature DB >> 25416799

Dynalign II: common secondary structure prediction for RNA homologs with domain insertions.

Yinghan Fu, Gaurav Sharma, David H Mathews.   

Abstract

Homologous non-coding RNAs frequently exhibit domain insertions, where a branch of secondary structure is inserted in a sequence with respect to its homologs. Dynamic programming algorithms for common secondary structure prediction of multiple RNA homologs, however, do not account for these domain insertions. This paper introduces a novel dynamic programming algorithm methodology that explicitly accounts for the possibility of inserted domains when predicting common RNA secondary structures. The algorithm is implemented as Dynalign II, an update to the Dynalign software package for predicting the common secondary structure of two RNA homologs. This update is accomplished with negligible increase in computational cost. Benchmarks on ncRNA families with domain insertions validate the method. Over base pairs occurring in inserted domains, Dynalign II improves accuracy over Dynalign, attaining 80.8% sensitivity (compared with 14.4% for Dynalign) and 91.4% positive predictive value (PPV) for tRNA; 66.5% sensitivity (compared with 38.9% for Dynalign) and 57.0% PPV for RNase P RNA; and 50.1% sensitivity (compared with 24.3% for Dynalign) and 58.5% PPV for SRP RNA. Compared with Dynalign, Dynalign II also exhibits statistically significant improvements in overall sensitivity and PPV. Dynalign II is available as a component of RNAstructure, which can be downloaded from http://rna.urmc.rochester.edu/RNAstructure.html.

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Year:  2014        PMID: 25416799      PMCID: PMC4267632          DOI: 10.1093/nar/gku1172

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  39 in total

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Authors:  S R Eddy
Journal:  Nat Rev Genet       Date:  2001-12       Impact factor: 53.242

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Review 3.  The chemical repertoire of natural ribozymes.

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Review 5.  The accuracy of ribosomal RNA comparative structure models.

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6.  Alignment of RNA base pairing probability matrices.

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  23 in total

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Review 4.  Physics-based all-atom modeling of RNA energetics and structure.

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5.  Nuclear Magnetic Resonance Structure of an 8 × 8 Nucleotide RNA Internal Loop Flanked on Each Side by Three Watson-Crick Pairs and Comparison to Three-Dimensional Predictions.

Authors:  Andrew D Kauffmann; Scott D Kennedy; Jianbo Zhao; Douglas H Turner
Journal:  Biochemistry       Date:  2017-07-12       Impact factor: 3.162

6.  Surprising Sequence Effects on GU Closure of Symmetric 2 × 2 Nucleotide RNA Internal Loops.

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Journal:  Biochemistry       Date:  2018-03-23       Impact factor: 3.162

7.  TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs.

Authors:  Zhen Tan; Yinghan Fu; Gaurav Sharma; David H Mathews
Journal:  Nucleic Acids Res       Date:  2017-11-16       Impact factor: 16.971

8.  GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering.

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Journal:  Gigascience       Date:  2019-12-01       Impact factor: 6.524

9.  Fast and accurate structure probability estimation for simultaneous alignment and folding of RNAs with Markov chains.

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Journal:  Algorithms Mol Biol       Date:  2020-11-13       Impact factor: 1.405

10.  Bridging the gap between in vitro and in vivo RNA folding.

Authors:  Kathleen A Leamy; Sarah M Assmann; David H Mathews; Philip C Bevilacqua
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