Discrete RNA libraries from pseudo-torsional space.

The discovery that RNA molecules can fold into complex structures and carry out diverse cellular roles has led to interest in developing tools for modeling RNA tertiary structure. While significant progress has been made in establishing that the RNA backbone is rotameric, few libraries of discrete conformations specifically for use in RNA modeling have been validated. Here, we present six libraries of discrete RNA conformations based on a simplified pseudo-torsional notation of the RNA backbone, comparable to phi and psi in the protein backbone. We evaluate the ability of each library to represent single nucleotide backbone conformations, and we show how individual library fragments can be assembled into dinucleotides that are consistent with established RNA backbone descriptors spanning from sugar to sugar. We then use each library to build all-atom models of 20 test folds, and we show how the composition of a fragment library can limit model quality. Despite the limitations inherent in using discretized libraries, we find that several hundred discrete fragments can rebuild RNA folds up to 174 nucleotides in length with atomic-level accuracy (<1.5 Å RMSD). We anticipate that the libraries presented here could easily be incorporated into RNA structural modeling, analysis, or refinement tools.

[1]  Roland L. Dunbrack,et al.  Conformational analysis of the backbone-dependent rotamer preferences of protein sidechains , 1994, Nature Structural Biology.

[2]  David C. Richardson,et al.  MOLPROBITY: structure validation and all-atom contact analysis for nucleic acids and their complexes , 2004, Nucleic Acids Res..

[3]  G. Rose,et al.  A complete conformational map for RNA. , 1999, Journal of molecular biology.

[4]  Roland L. Dunbrack,et al.  Backbone-dependent rotamer library for proteins. Application to side-chain prediction. , 1993, Journal of molecular biology.

[5]  M. Zalis,et al.  Visualizing and quantifying molecular goodness-of-fit: small-probe contact dots with explicit hydrogen atoms. , 1999, Journal of molecular biology.

[6]  J. Richardson,et al.  The penultimate rotamer library , 2000, Proteins.

[7]  Christian Laing,et al.  Computational approaches to 3D modeling of RNA , 2010, Journal of physics. Condensed matter : an Institute of Physics journal.

[8]  G. Sapiro,et al.  Statistical analysis of RNA backbone , 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[9]  Elisabeth L. Humphris,et al.  A new way to see RNA , 2011, Quarterly Reviews of Biophysics.

[10]  P. Argos,et al.  Rotamers: to be or not to be? An analysis of amino acid side-chain conformations in globular proteins. , 1993, Journal of molecular biology.

[11]  F. Ding,et al.  Ab initio RNA folding by discrete molecular dynamics: from structure prediction to folding mechanisms. , 2008, RNA.

[12]  J. Ponder,et al.  Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes. , 1987, Journal of molecular biology.

[13]  M. D. Newton,et al.  Seven basic conformations of nucleic acid structural units , 1973 .

[14]  Feng Ding,et al.  On the significance of an RNA tertiary structure prediction. , 2010, RNA.

[15]  Feng Ding,et al.  iFoldRNA: three-dimensional RNA structure prediction and folding , 2008, Bioinform..

[16]  Anna Marie Pyle,et al.  Evaluating and learning from RNA pseudotorsional space: quantitative validation of a reduced representation for RNA structure. , 2007, Journal of molecular biology.

[17]  Jack Snoeyink,et al.  Nucleic Acids Research Advance Access published April 22, 2007 MolProbity: all-atom contacts and structure validation for proteins and nucleic acids , 2007 .

[18]  G Lapalme,et al.  The combination of symbolic and numerical computation for three-dimensional modeling of RNA. , 1991, Science.

[19]  Raymond F. Gesteland,et al.  Life Before DNA. (Book Reviews: The RNA World. The Nature of Modern RNA Suggests a Prebiotic RNA World.) , 1993 .

[20]  G. N. Ramachandran,et al.  Stereochemistry of polypeptide chain configurations. , 1963, Journal of molecular biology.

[21]  Magdalena A. Jonikas,et al.  Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filters. , 2009, RNA.

[22]  W. B. Arendall,et al.  RNA backbone is rotameric , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[23]  Eric Westhof,et al.  Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments , 2005, Nucleic acids research.

[24]  I Lasters,et al.  All in one: a highly detailed rotamer library improves both accuracy and speed in the modelling of sidechains by dead-end elimination. , 1997, Folding & design.

[25]  A. Pyle,et al.  Stepping through an RNA structure: A novel approach to conformational analysis. , 1998, Journal of molecular biology.

[26]  I. Tinoco,et al.  How RNA folds. , 1999, Journal of molecular biology.

[27]  Barry Honig,et al.  Extending the accuracy limits of prediction for side-chain conformations. , 2001 .

[28]  D Gautheret,et al.  Reproducing the three-dimensional structure of a tRNA molecule from structural constraints. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Eric Westhof,et al.  New metrics for comparing and assessing discrepancies between RNA 3D structures and models. , 2009, RNA.

[30]  Wojciech Kasprzak,et al.  Bridging the gap in RNA structure prediction. , 2007, Current opinion in structural biology.

[31]  Anna Marie Pyle,et al.  RNA structure comparison, motif search and discovery using a reduced representation of RNA conformational space. , 2003, Nucleic acids research.

[32]  G. N. Ramachandran,et al.  Studies on the conformation of amino acids. XI. Analysis of the observed side group conformation in proteins. , 2009, International journal of protein research.

[33]  A Joshua Wand,et al.  Improved side‐chain prediction accuracy using an ab initio potential energy function and a very large rotamer library , 2004, Protein science : a publication of the Protein Society.

[34]  Helen M Berman,et al.  RNA conformational classes. , 2004, Nucleic acids research.

[35]  Russ B. Altman,et al.  Knowledge-based instantiation of full atomic detail into coarse-grain RNA 3D structural models , 2009, Bioinform..

[36]  Helen M Berman,et al.  RNA backbone: consensus all-angle conformers and modular string nomenclature (an RNA Ontology Consortium contribution). , 2008, RNA.

[37]  Anna Marie Pyle,et al.  The identification of novel RNA structural motifs using COMPADRES: an automated approach to structural discovery. , 2004, Nucleic acids research.

[38]  D. Baker,et al.  Automated de novo prediction of native-like RNA tertiary structures , 2007, Proceedings of the National Academy of Sciences.

[39]  Roland L. Dunbrack Rotamer libraries in the 21st century. , 2002, Current opinion in structural biology.

[40]  E. Westhof,et al.  Geometric nomenclature and classification of RNA base pairs. , 2001, RNA.

[41]  Anna Marie Pyle,et al.  Semiautomated model building for RNA crystallography using a directed rotameric approach , 2010, Proceedings of the National Academy of Sciences.

[42]  Michael Levitt,et al.  Describing RNA structure by libraries of clustered nucleotide doublets. , 2005, Journal of molecular biology.

[43]  D Gautheret,et al.  Modeling the three-dimensional structure of RNA using discrete nucleotide conformational sets. , 1993, Journal of molecular biology.

[44]  F. Major,et al.  The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data , 2008, Nature.