Literature DB >> 21514143

Computational approaches to RNA structure prediction, analysis, and design.

Christian Laing1, Tamar Schlick.   

Abstract

RNA molecules are important cellular components involved in many fundamental biological processes. Understanding the mechanisms behind their functions requires RNA tertiary structure knowledge. Although modeling approaches for the study of RNA structures and dynamics lag behind efforts in protein folding, much progress has been achieved in the past two years. Here, we review recent advances in RNA folding algorithms, RNA tertiary motif discovery, applications of graph theory approaches to RNA structure and function, and in silico generation of RNA sequence pools for aptamer design. Advances within each area can be combined to impact many problems in RNA structure and function.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21514143      PMCID: PMC3112238          DOI: 10.1016/j.sbi.2011.03.015

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  71 in total

1.  Candidates for novel RNA topologies.

Authors:  Namhee Kim; Nahum Shiffeldrim; Hin Hark Gan; Tamar Schlick
Journal:  J Mol Biol       Date:  2004-08-27       Impact factor: 5.469

2.  Rapid construction of empirical RNA fitness landscapes.

Authors:  Jason N Pitt; Adrian R Ferré-D'Amaré
Journal:  Science       Date:  2010-10-15       Impact factor: 47.728

Review 3.  Recent successes of the energy landscape theory of protein folding and function.

Authors:  P G Wolynes
Journal:  Q Rev Biophys       Date:  2005-11       Impact factor: 5.318

4.  The energy landscapes and motions of proteins.

Authors:  H Frauenfelder; S G Sligar; P G Wolynes
Journal:  Science       Date:  1991-12-13       Impact factor: 47.728

Review 5.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

6.  RNA2D3D: a program for generating, viewing, and comparing 3-dimensional models of RNA.

Authors:  Hugo M Martinez; Jacob V Maizel; Bruce A Shapiro
Journal:  J Biomol Struct Dyn       Date:  2008-06

7.  Analysis of four-way junctions in RNA structures.

Authors:  Christian Laing; Tamar Schlick
Journal:  J Mol Biol       Date:  2009-05-13       Impact factor: 5.469

8.  Selecting RNA aptamers for synthetic biology: investigating magnesium dependence and predicting binding affinity.

Authors:  James M Carothers; Jonathan A Goler; Yuvraaj Kapoor; Lesley Lara; Jay D Keasling
Journal:  Nucleic Acids Res       Date:  2010-02-16       Impact factor: 16.971

9.  A predictive model for secondary RNA structure using graph theory and a neural network.

Authors:  Denise R Koessler; Debra J Knisley; Jeff Knisley; Teresa Haynes
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

10.  RNA folding on the 3D triangular lattice.

Authors:  Joel Gillespie; Martin Mayne; Minghui Jiang
Journal:  BMC Bioinformatics       Date:  2009-11-05       Impact factor: 3.169

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  58 in total

1.  Predicting 3D Structure, Flexibility, and Stability of RNA Hairpins in Monovalent and Divalent Ion Solutions.

Authors:  Ya-Zhou Shi; Lei Jin; Feng-Hua Wang; Xiao-Long Zhu; Zhi-Jie Tan
Journal:  Biophys J       Date:  2015-12-15       Impact factor: 4.033

2.  Using Rosetta for RNA homology modeling.

Authors:  Andrew M Watkins; Ramya Rangan; Rhiju Das
Journal:  Methods Enzymol       Date:  2019-06-11       Impact factor: 1.600

Review 3.  Modeling nucleic acids.

Authors:  Adelene Y L Sim; Peter Minary; Michael Levitt
Journal:  Curr Opin Struct Biol       Date:  2012-04-25       Impact factor: 6.809

4.  An algebraic view of bacterial genome evolution.

Authors:  Andrew R Francis
Journal:  J Math Biol       Date:  2013-12-29       Impact factor: 2.259

Review 5.  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

6.  Inverse folding with RNA-As-Graphs produces a large pool of candidate sequences with target topologies.

Authors:  Swati Jain; Yunwen Tao; Tamar Schlick
Journal:  J Struct Biol       Date:  2019-12-23       Impact factor: 2.867

7.  A Method to Predict the 3D Structure of an RNA Scaffold.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2015

8.  Modelling toehold-mediated RNA strand displacement.

Authors:  Petr Šulc; Thomas E Ouldridge; Flavio Romano; Jonathan P K Doye; Ard A Louis
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

9.  Predicting RNA Scaffolds with a Hybrid Method of Vfold3D and VfoldLA.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2021

10.  An extended dual graph library and partitioning algorithm applicable to pseudoknotted RNA structures.

Authors:  Swati Jain; Sera Saju; Louis Petingi; Tamar Schlick
Journal:  Methods       Date:  2019-03-27       Impact factor: 3.608

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