Literature DB >> 22736001

RNA structure prediction: an overview of methods.

Matthew G Seetin1, David H Mathews.   

Abstract

RNA is now appreciated to serve numerous cellular roles, and understanding RNA structure is important for understanding a mechanism of action. This contribution discusses the methods available for predicting RNA structure. Secondary structure is the set of the canonical base pairs, and secondary structure can be accurately determined by comparative sequence analysis. Secondary structure can also be predicted. The most commonly used method is free energy minimization. The accuracy of structure prediction is improved either by using experimental mapping data or by predicting a structure conserved in a set of homologous sequences. Additionally, tertiary structure, the three-dimensional arrangement of atoms, can be modeled with guidance from comparative analysis and experimental techniques. New approaches are also available for predicting tertiary structure.

Mesh:

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Year:  2012        PMID: 22736001     DOI: 10.1007/978-1-61779-949-5_8

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


  58 in total

Review 1.  RNA Structural Differentiation: Opportunities with Pattern Recognition.

Authors:  Christopher S Eubanks; Amanda E Hargrove
Journal:  Biochemistry       Date:  2018-12-18       Impact factor: 3.162

2.  AccessFold: predicting RNA-RNA interactions with consideration for competing self-structure.

Authors:  Laura DiChiacchio; Michael F Sloma; David H Mathews
Journal:  Bioinformatics       Date:  2015-11-20       Impact factor: 6.937

Review 3.  Molecular modeling of nucleic acid structure.

Authors:  T E Cheatham; B R Brooks; P A Kollman
Journal:  Curr Protoc Nucleic Acid Chem       Date:  2001-11

4.  Sequence-dependent RNA helix conformational preferences predictably impact tertiary structure formation.

Authors:  Joseph D Yesselman; Sarah K Denny; Namita Bisaria; Daniel Herschlag; William J Greenleaf; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

5.  Modeling RNA Secondary Structure with Sequence Comparison and Experimental Mapping Data.

Authors:  Zhen Tan; Gaurav Sharma; David H Mathews
Journal:  Biophys J       Date:  2017-07-20       Impact factor: 4.033

Review 6.  Decoding the RNA structurome.

Authors:  Zhipeng Lu; Howard Y Chang
Journal:  Curr Opin Struct Biol       Date:  2016-02-26       Impact factor: 6.809

Review 7.  Protein modeling: what happened to the "protein structure gap"?

Authors:  Torsten Schwede
Journal:  Structure       Date:  2013-09-03       Impact factor: 5.006

8.  Small molecule-RNA targeting: starting with the fundamentals.

Authors:  Amanda E Hargrove
Journal:  Chem Commun (Camb)       Date:  2020-11-26       Impact factor: 6.222

9.  Small Molecule-Based Pattern Recognition To Classify RNA Structure.

Authors:  Christopher S Eubanks; Jordan E Forte; Gary J Kapral; Amanda E Hargrove
Journal:  J Am Chem Soc       Date:  2016-12-22       Impact factor: 15.419

10.  Using the RNAstructure Software Package to Predict Conserved RNA Structures.

Authors:  David H Mathews
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17
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