Literature DB >> 30951834

How to benchmark RNA secondary structure prediction accuracy.

David H Mathews1.   

Abstract

RNA secondary structure prediction is widely used. As new methods are developed, these are often benchmarked for accuracy against existing methods. This review discusses good practices for performing these benchmarks, including the choice of benchmarking structures, metrics to quantify accuracy, the importance of allowing flexibility for pairs in the accepted structure, and the importance of statistical testing for significance.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Comparative sequence analysis; RNA folding

Mesh:

Substances:

Year:  2019        PMID: 30951834      PMCID: PMC7202366          DOI: 10.1016/j.ymeth.2019.04.003

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  101 in total

Review 1.  How RNA folds.

Authors:  I Tinoco; C Bustamante
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

2.  Pairwise local structural alignment of RNA sequences with sequence similarity less than 40%.

Authors:  Jakob Hull Havgaard; Rune B Lyngsø; Gary D Stormo; Jan Gorodkin
Journal:  Bioinformatics       Date:  2005-01-18       Impact factor: 6.937

Review 3.  Let me count the ways: mechanisms of gene regulation by miRNAs and siRNAs.

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Journal:  Mol Cell       Date:  2008-01-18       Impact factor: 17.970

4.  Thermodynamic parameters for an expanded nearest-neighbor model for formation of RNA duplexes with Watson-Crick base pairs.

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Journal:  Biochemistry       Date:  1998-10-20       Impact factor: 3.162

5.  Assessing the reliability of RNA folding using statistical mechanics.

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Journal:  J Mol Biol       Date:  1997-04-18       Impact factor: 5.469

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Authors:  Michael F Sloma; David H Mathews
Journal:  Methods Enzymol       Date:  2015-02-03       Impact factor: 1.600

7.  Thermodynamic and spectroscopic study of bulge loops in oligoribonucleotides.

Authors:  C E Longfellow; R Kierzek; D H Turner
Journal:  Biochemistry       Date:  1990-01-09       Impact factor: 3.162

Review 8.  Energy-directed RNA structure prediction.

Authors:  Ivo L Hofacker
Journal:  Methods Mol Biol       Date:  2014

9.  Infernal 1.1: 100-fold faster RNA homology searches.

Authors:  Eric P Nawrocki; Sean R Eddy
Journal:  Bioinformatics       Date:  2013-09-04       Impact factor: 6.937

10.  Exact calculation of loop formation probability identifies folding motifs in RNA secondary structures.

Authors:  Michael F Sloma; David H Mathews
Journal:  RNA       Date:  2016-10-19       Impact factor: 4.942

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  4 in total

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Authors:  Karissa Sanbonmatsu
Journal:  Mamm Genome       Date:  2021-10-12       Impact factor: 3.224

2.  Deep learning models for RNA secondary structure prediction (probably) do not generalise across families.

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Journal:  Bioinformatics       Date:  2022-06-24       Impact factor: 6.931

3.  RAFFT: Efficient prediction of RNA folding pathways using the fast Fourier transform.

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Journal:  PLoS Comput Biol       Date:  2022-08-26       Impact factor: 4.779

4.  Base-pair ambiguity and the kinetics of RNA folding.

Authors:  Guangyao Zhou; Jackson Loper; Stuart Geman
Journal:  BMC Bioinformatics       Date:  2019-12-12       Impact factor: 3.169

  4 in total

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