Literature DB >> 24136595

Predicting RNA structure: advances and limitations.

Ivo L Hofacker1, Ronny Lorenz.   

Abstract

RNA secondary structures can be predicted using efficient algorithms. A widely used software package implementing a large number of computational methods is the ViennaRNA Package. This chapter describes how to use programs from the ViennaRNA Package to perform common tasks such as prediction of minimum free-energy structures, suboptimal structures, or base pairing probabilities, and generating secondary structure plots with reliability annotation. Moreover, we present recent methods to assess the folding kinetics of an RNA via 2D projections of the energy landscape, identification of local minima and energy barriers, or simulation of RNA folding as a Markov process.

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Year:  2014        PMID: 24136595     DOI: 10.1007/978-1-62703-667-2_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  3D RNA and Functional Interactions from Evolutionary Couplings.

Authors:  Caleb Weinreb; Adam J Riesselman; John B Ingraham; Torsten Gross; Chris Sander; Debora S Marks
Journal:  Cell       Date:  2016-04-14       Impact factor: 41.582

2.  FARFAR2: Improved De Novo Rosetta Prediction of Complex Global RNA Folds.

Authors:  Andrew Martin Watkins; Ramya Rangan; Rhiju Das
Journal:  Structure       Date:  2020-06-11       Impact factor: 5.006

3.  Model-Free RNA Sequence and Structure Alignment Informed by SHAPE Probing Reveals a Conserved Alternate Secondary Structure for 16S rRNA.

Authors:  Christopher A Lavender; Ronny Lorenz; Ge Zhang; Rita Tamayo; Ivo L Hofacker; Kevin M Weeks
Journal:  PLoS Comput Biol       Date:  2015-05-20       Impact factor: 4.475

4.  Differences in Integron Cassette Excision Dynamics Shape a Trade-Off between Evolvability and Genetic Capacitance.

Authors:  Céline Loot; Aleksandra Nivina; Jean Cury; José Antonio Escudero; Magaly Ducos-Galand; David Bikard; Eduardo P C Rocha; Didier Mazel
Journal:  mBio       Date:  2017-03-28       Impact factor: 7.867

5.  Expansion segments in bacterial and archaeal 5S ribosomal RNAs.

Authors:  Victor G Stepanov; George E Fox
Journal:  RNA       Date:  2020-11-12       Impact factor: 4.942

6.  An Aptamer-Based Biosensor for Direct, Label-Free Detection of Melamine in Raw Milk.

Authors:  Naoto Kaneko; Katsunori Horii; Joe Akitomi; Shintaro Kato; Ikuo Shiratori; Iwao Waga
Journal:  Sensors (Basel)       Date:  2018-09-25       Impact factor: 3.576

  6 in total

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