Literature DB >> 14612579

RNA backbone is rotameric.

Laura J W Murray1, W Bryan Arendall, David C Richardson, Jane S Richardson.   

Abstract

Despite the importance of local structural detail to a mechanistic understanding of RNA catalysis and binding functions, RNA backbone conformation has been quite recalcitrant to analysis. There are too many variable torsion angles per residue, and their raw empirical distributions are poorly clustered. This study applies quality-filtering techniques (using resolution, crystallographic B factor, and all-atom steric clashes) to the backbone torsion angle distributions from an 8,636-residue RNA database. With noise levels greatly reduced, clear signal appears for the underlying angle preferences. Half-residue torsion angle distributions for alpha-beta-gamma and for delta-epsilon-zeta are plotted and contoured in 3D; each shows about a dozen distinct peaks, which can then be combined in pairs to define complete RNA backbone conformers. Traditional nucleic acid residues are defined from phosphate to phosphate, but here we use a base-to-base (or sugar-to-sugar) division into "suites" to parse the RNA backbone repeats, both because most backbone steric clashes are within suites and because the relationship of successive bases is both reliably determined and conformationally important. A suite conformer has seven variables, with sugar pucker specified at both ends. Potential suite conformers were omitted if not represented by at least a small cluster of convincing data points after application of quality filters. The final result is a small library of 42 RNA backbone conformers, which should provide valid conformations for nearly all RNA backbone encountered in experimental structures.

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Year:  2003        PMID: 14612579      PMCID: PMC283519          DOI: 10.1073/pnas.1835769100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

1.  The penultimate rotamer library.

Authors:  S C Lovell; J M Word; J S Richardson; D C Richardson
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2.  The influence of different structure representations on the clustering of an RNA nucleotides data set.

Authors:  T H Reijmers; R Wehrens; L M Buydens
Journal:  J Chem Inf Comput Sci       Date:  2001 Sep-Oct

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Journal:  Nature       Date:  2002-07-11       Impact factor: 49.962

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Authors:  Venkatesh L Murthy; George D Rose
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  The crystal structure of a 26-nucleotide RNA containing a hook-turn.

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Journal:  RNA       Date:  2003-01       Impact factor: 4.942

6.  The kinemage: a tool for scientific communication.

Authors:  D C Richardson; J S Richardson
Journal:  Protein Sci       Date:  1992-01       Impact factor: 6.725

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

Authors:  N B Leontis; E Westhof
Journal:  J Mol Biol       Date:  1998-10-30       Impact factor: 5.469

8.  Stepping through an RNA structure: A novel approach to conformational analysis.

Authors:  C M Duarte; A M Pyle
Journal:  J Mol Biol       Date:  1998-12-18       Impact factor: 5.469

9.  Bayesian statistical analysis of protein side-chain rotamer preferences.

Authors:  R L Dunbrack; F E Cohen
Journal:  Protein Sci       Date:  1997-08       Impact factor: 6.725

10.  Crystal structure of a group I ribozyme domain: principles of RNA packing.

Authors:  J H Cate; A R Gooding; E Podell; K Zhou; B L Golden; C E Kundrot; T R Cech; J A Doudna
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  92 in total

1.  MOLPROBITY: structure validation and all-atom contact analysis for nucleic acids and their complexes.

Authors:  Ian W Davis; Laura Weston Murray; Jane S Richardson; David C Richardson
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  RNA conformational classes.

Authors:  Bohdan Schneider; Zdenek Morávek; Helen M Berman
Journal:  Nucleic Acids Res       Date:  2004-03-11       Impact factor: 16.971

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Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

4.  Ionic strength-dependent persistence lengths of single-stranded RNA and DNA.

Authors:  Huimin Chen; Steve P Meisburger; Suzette A Pabit; Julie L Sutton; Watt W Webb; Lois Pollack
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

5.  Induced fit or conformational selection for RNA/U1A folding.

Authors:  Fang Qin; Yue Chen; Maoying Wu; Yixue Li; Jian Zhang; Hai-Feng Chen
Journal:  RNA       Date:  2010-03-30       Impact factor: 4.942

6.  Identification of dynamical hinge points of the L1 ligase molecular switch.

Authors:  George M Giambasu; Tai-Sung Lee; Carlos P Sosa; Michael P Robertson; William G Scott; Darrin M York
Journal:  RNA       Date:  2010-02-18       Impact factor: 4.942

7.  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

8.  RNA Structure Refinement Using the ERRASER-Phenix Pipeline.

Authors:  Fang-Chieh Chou; Nathaniel Echols; Thomas C Terwilliger; Rhiju Das
Journal:  Methods Mol Biol       Date:  2016

9.  The identification of novel RNA structural motifs using COMPADRES: an automated approach to structural discovery.

Authors:  Leven M Wadley; Anna Marie Pyle
Journal:  Nucleic Acids Res       Date:  2004-12-17       Impact factor: 16.971

10.  Doing molecular biophysics: finding, naming, and picturing signal within complexity.

Authors:  Jane S Richardson; David C Richardson
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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