Literature DB >> 19237463

Predicting structures and stabilities for H-type pseudoknots with interhelix loops.

Song Cao1, Shi-Jie Chen.   

Abstract

RNA pseudoknots play a critical role in RNA-related biology from the assembly of ribosome to the regulation of viral gene expression. A predictive model for pseudoknot structure and stability is essential for understanding and designing RNA structure and function. A previous statistical mechanical theory allows us to treat canonical H-type RNA pseudoknots that contain no intervening loop between the helices (see S. Cao and S.J. Chen [2006] in Nucleic Acids Research, Vol. 34; pp. 2634-2652). Biologically significant RNA pseudoknots often contain interhelix loops. Predicting the structure and stability for such more-general pseudoknots remains an unsolved problem. In the present study, we develop a predictive model for pseudoknots with interhelix loops. The model gives conformational entropy, stability, and the free-energy landscape from RNA sequences. The main features of this new model are the computation of the conformational entropy and folding free-energy base on the complete conformational ensemble and rigorous treatment for the excluded volume effects. Extensive tests for the structural predictions show overall good accuracy with average sensitivity and specificity equal to 0.91 and 0.91, respectively. The theory developed here may be a solid starting point for first-principles modeling of more complex, larger RNAs.

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Year:  2009        PMID: 19237463      PMCID: PMC2661829          DOI: 10.1261/rna.1429009

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  78 in total

1.  KnotSeeker: heuristic pseudoknot detection in long RNA sequences.

Authors:  Jana Sperschneider; Amitava Datta
Journal:  RNA       Date:  2008-02-26       Impact factor: 4.942

2.  Novel and efficient RNA secondary structure prediction using hierarchical folding.

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Journal:  J Comput Biol       Date:  2008-03       Impact factor: 1.479

Review 3.  RNA pseudoknots and the regulation of protein synthesis.

Authors:  Ian Brierley; Robert J C Gilbert; Simon Pennell
Journal:  Biochem Soc Trans       Date:  2008-08       Impact factor: 5.407

4.  Topological classification of RNA structures.

Authors:  Michael Bon; Graziano Vernizzi; Henri Orland; A Zee
Journal:  J Mol Biol       Date:  2008-04-18       Impact factor: 5.469

Review 5.  RNA folding: conformational statistics, folding kinetics, and ion electrostatics.

Authors:  Shi-Jie Chen
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

6.  Discrete state model and accurate estimation of loop entropy of RNA secondary structures.

Authors:  Jian Zhang; Ming Lin; Rong Chen; Wei Wang; Jie Liang
Journal:  J Chem Phys       Date:  2008-03-28       Impact factor: 3.488

Review 7.  How RNA unfolds and refolds.

Authors:  Pan T X Li; Jeffrey Vieregg; Ignacio Tinoco
Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

8.  Salt dependence of nucleic acid hairpin stability.

Authors:  Zhi-Jie Tan; Shi-Jie Chen
Journal:  Biophys J       Date:  2008-04-18       Impact factor: 4.033

9.  Predicting ribosomal frameshifting efficiency.

Authors:  Song Cao; Shi-Jie Chen
Journal:  Phys Biol       Date:  2008-03-11       Impact factor: 2.583

10.  The stimulatory RNA of the Visna-Maedi retrovirus ribosomal frameshifting signal is an unusual pseudoknot with an interstem element.

Authors:  Simon Pennell; Emily Manktelow; Andrew Flatt; Geoff Kelly; Stephen J Smerdon; Ian Brierley
Journal:  RNA       Date:  2008-05-21       Impact factor: 4.942

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  54 in total

1.  Structure and stability of RNA/RNA kissing complex: with application to HIV dimerization initiation signal.

Authors:  Song Cao; Shi-Jie Chen
Journal:  RNA       Date:  2011-10-25       Impact factor: 4.942

2.  RNA-Puzzles: a CASP-like evaluation of RNA three-dimensional structure prediction.

Authors:  José Almeida Cruz; Marc-Frédérick Blanchet; Michal Boniecki; Janusz M Bujnicki; Shi-Jie Chen; Song Cao; Rhiju Das; Feng Ding; Nikolay V Dokholyan; Samuel Coulbourn Flores; Lili Huang; Christopher A Lavender; Véronique Lisi; François Major; Katarzyna Mikolajczak; Dinshaw J Patel; Anna Philips; Tomasz Puton; John Santalucia; Fredrick Sijenyi; Thomas Hermann; Kristian Rother; Magdalena Rother; Alexander Serganov; Marcin Skorupski; Tomasz Soltysinski; Parin Sripakdeevong; Irina Tuszynska; Kevin M Weeks; Christina Waldsich; Michael Wildauer; Neocles B Leontis; Eric Westhof
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

3.  A domain-based model for predicting large and complex pseudoknotted structures.

Authors:  Song Cao; Shi-Jie Chen
Journal:  RNA Biol       Date:  2012-02-01       Impact factor: 4.652

4.  ProbKnot: fast prediction of RNA secondary structure including pseudoknots.

Authors:  Stanislav Bellaousov; David H Mathews
Journal:  RNA       Date:  2010-08-10       Impact factor: 4.942

5.  Computing the conformational entropy for RNA folds.

Authors:  Liang Liu; Shi-Jie Chen
Journal:  J Chem Phys       Date:  2010-06-21       Impact factor: 3.488

6.  Heuristic RNA pseudoknot prediction including intramolecular kissing hairpins.

Authors:  Jana Sperschneider; Amitava Datta; Michael J Wise
Journal:  RNA       Date:  2010-11-22       Impact factor: 4.942

7.  Assembly and activation of a kinase ribozyme.

Authors:  Donald H Burke; Steven S Rhee
Journal:  RNA       Date:  2010-10-08       Impact factor: 4.942

8.  Improved free energy parameters for RNA pseudoknotted secondary structure prediction.

Authors:  Mirela S Andronescu; Cristina Pop; Anne E Condon
Journal:  RNA       Date:  2009-11-20       Impact factor: 4.942

9.  Prediction of geometrically feasible three-dimensional structures of pseudoknotted RNA through free energy estimation.

Authors:  Jian Zhang; Joseph Dundas; Ming Lin; Rong Chen; Wei Wang; Jie Liang
Journal:  RNA       Date:  2009-10-28       Impact factor: 4.942

10.  A Method to Predict the Structure and Stability of RNA/RNA Complexes.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2016
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