Literature DB >> 24144333

Isosteric and nonisosteric base pairs in RNA motifs: molecular dynamics and bioinformatics study of the sarcin-ricin internal loop.

Marek Havrila1, Kamila Réblová, Craig L Zirbel, Neocles B Leontis, Jiří Šponer.   

Abstract

The sarcin-ricin RNA motif (SR motif) is one of the most prominent recurrent RNA building blocks that occurs in many different RNA contexts and folds autonomously, that is, in a context-independent manner. In this study, we combined bioinformatics analysis with explicit-solvent molecular dynamics (MD) simulations to better understand the relation between the RNA sequence and the evolutionary patterns of the SR motif. A SHAPE probing experiment was also performed to confirm the fidelity of the MD simulations. We identified 57 instances of the SR motif in a nonredundant subset of the RNA X-ray structure database and analyzed their base pairing, base-phosphate, and backbone-backbone interactions. We extracted sequences aligned to these instances from large rRNA alignments to determine the frequency of occurrence for different sequence variants. We then used a simple scoring scheme based on isostericity to suggest 10 sequence variants with a highly variable expected degree of compatibility with the SR motif 3D structure. We carried out MD simulations of SR motifs with these base substitutions. Nonisosteric base substitutions led to unstable structures, but so did isosteric substitutions which were unable to make key base-phosphate interactions. The MD technique explains why some potentially isosteric SR motifs are not realized during evolution. We also found that the inability to form stable cWW geometry is an important factor in the case of the first base pair of the flexible region of the SR motif. A comparison of structural, bioinformatics, SHAPE probing, and MD simulation data reveals that explicit solvent MD simulations neatly reflect the viability of different sequence variants of the SR motif. Thus, MD simulations can efficiently complement bioinformatics tools in studies of conservation patterns of RNA motifs and provide atomistic insight into the role of their different signature interactions.

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Year:  2013        PMID: 24144333      PMCID: PMC3946555          DOI: 10.1021/jp408530w

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  74 in total

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Authors:  X Yang; T Gérczei; L T Glover; C C Correll
Journal:  Nat Struct Biol       Date:  2001-11

Review 2.  Analysis of RNA motifs.

Authors:  Neocles B Leontis; Eric Westhof
Journal:  Curr Opin Struct Biol       Date:  2003-06       Impact factor: 6.809

3.  RNA/Peptide Binding Driven by Electrostatics-Insight from Bidirectional Pulling Simulations.

Authors:  Trang N Do; Paolo Carloni; Gabriele Varani; Giovanni Bussi
Journal:  J Chem Theory Comput       Date:  2013-02-22       Impact factor: 6.006

4.  Understanding RNA Flexibility Using Explicit Solvent Simulations: The Ribosomal and Group I Intron Reverse Kink-Turn Motifs.

Authors:  Petr Sklenovský; Petra Florová; Pavel Banáš; Kamila Réblová; Filip Lankaš; Michal Otyepka; Jiří Šponer
Journal:  J Chem Theory Comput       Date:  2011-08-05       Impact factor: 6.006

5.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

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Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

6.  A common motif organizes the structure of multi-helix loops in 16 S and 23 S ribosomal RNAs.

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Journal:  J Mol Biol       Date:  1998-10-30       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  2000-05-19       Impact factor: 5.469

8.  Evidence that the G2661 region of 23S rRNA is located at the ribosomal binding sites of both elongation factors.

Authors:  T P Hausner; J Atmadja; K H Nierhaus
Journal:  Biochimie       Date:  1987-09       Impact factor: 4.079

9.  The two faces of the Escherichia coli 23 S rRNA sarcin/ricin domain: the structure at 1.11 A resolution.

Authors:  C C Correll; I G Wool; A Munishkin
Journal:  J Mol Biol       Date:  1999-09-17       Impact factor: 5.469

10.  Molecular mechanism of preQ1 riboswitch action: a molecular dynamics study.

Authors:  Pavel Banáš; Petr Sklenovský; Joseph E Wedekind; Jiří Šponer; Michal Otyepka
Journal:  J Phys Chem B       Date:  2012-10-12       Impact factor: 2.991

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  7 in total

Review 1.  RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

Authors:  Jiří Šponer; Giovanni Bussi; Miroslav Krepl; Pavel Banáš; Sandro Bottaro; Richard A Cunha; Alejandro Gil-Ley; Giovanni Pinamonti; Simón Poblete; Petr Jurečka; Nils G Walter; Michal Otyepka
Journal:  Chem Rev       Date:  2018-01-03       Impact factor: 60.622

2.  New tRNA contacts facilitate ligand binding in a Mycobacterium smegmatis T box riboswitch.

Authors:  Anna V Sherwood; Jane K Frandsen; Frank J Grundy; Tina M Henkin
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-26       Impact factor: 11.205

3.  RNABP COGEST: a resource for investigating functional RNAs.

Authors:  Sohini Bhattacharya; Shriyaa Mittal; Swati Panigrahi; Purshotam Sharma; Preethi S P; Rahul Paul; Sukanya Halder; Antarip Halder; Dhananjay Bhattacharyya; Abhijit Mitra
Journal:  Database (Oxford)       Date:  2015-03-16       Impact factor: 3.451

4.  Going beyond base-pairs: topology-based characterization of base-multiplets in RNA.

Authors:  Sohini Bhattacharya; Ayush Jhunjhunwala; Antarip Halder; Dhananjay Bhattacharyya; Abhijit Mitra
Journal:  RNA       Date:  2019-02-21       Impact factor: 4.942

5.  In silico survey of the central conserved regions in viroids of the Pospiviroidae family for conserved asymmetric loop structures.

Authors:  Paul Freidhoff; Michael F Bruist
Journal:  RNA       Date:  2019-05-23       Impact factor: 4.942

6.  RNAMotifContrast: a method to discover and visualize RNA structural motif subfamilies.

Authors:  Shahidul Islam; Md Mahfuzur Rahaman; Shaojie Zhang
Journal:  Nucleic Acids Res       Date:  2021-06-21       Impact factor: 16.971

7.  Platinum-RNA modifications following drug treatment in S. cerevisiae identified by click chemistry and enzymatic mapping.

Authors:  Maire F Osborn; Jonathan D White; Michael M Haley; Victoria J DeRose
Journal:  ACS Chem Biol       Date:  2014-08-15       Impact factor: 5.100

  7 in total

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