RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme

  1. Eric Westhof1
  1. 1Architecture et Réactivité de l'ARN, Université de Strasbourg, Institut de biologie moléculaire et cellulaire du CNRS, 67000 Strasbourg, France;
  2. 2Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland;
  3. 3Poznan University of Technology, Institute of Computing Science, 60-965 Poznan, Poland;
  4. 4Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado 80309-0596, USA;
  5. 5Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305, USA;
  6. 6Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, 02-109 Warsaw, Poland;
  7. 7Laboratory of Bioinformatics, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, 61-614 Poznan, Poland;
  8. 8Department of Physics and Astronomy, Department of Biochemistry, and Informatics Institute, University of Missouri-Columbia, Columbia, Missouri 65211, USA;
  9. 9National Heart, Lung and Blood Institute, Bethesda, Maryland 20892-8012, USA;
  10. 10Department of Physics and Astronomy, Clemson University, Clemson, South Carolina 29634, USA;
  11. 11Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA;
  12. 12Institute for Research in Immunology and Cancer (IRIC), Department of Computer Science and Operations Research, Université de Montréal, Montréal, Québec, H3C 3J7, Canada;
  13. 13Structural Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA;
  14. 14Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, USA;
  15. 15Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, USA;
  16. 16Life Sciences Institute, Zhejiang University, Hangzhou 310058, China;
  17. 17Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-3290, USA;
  18. 18Department of Chemistry, Wayne State University, Detroit, Michigan 48202, USA;
  19. 19DNA Software, Ann Arbor, Michigan 48104, USA;
  20. 20Biomolecular Physics and Modeling Group, School of Physics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
  1. Corresponding authors: z.miao{at}ibmc-cnrs.unistra.fr, e.westhof{at}ibmc-cnrs.unistra.fr

Abstract

RNA-Puzzles is a collective experiment in blind 3D RNA structure prediction. We report here a third round of RNA-Puzzles. Five puzzles, 4, 8, 12, 13, 14, all structures of riboswitch aptamers and puzzle 7, a ribozyme structure, are included in this round of the experiment. The riboswitch structures include biological binding sites for small molecules (S-adenosyl methionine, cyclic diadenosine monophosphate, 5-amino 4-imidazole carboxamide riboside 5′-triphosphate, glutamine) and proteins (YbxF), and one set describes large conformational changes between ligand-free and ligand-bound states. The Varkud satellite ribozyme is the most recently solved structure of a known large ribozyme. All puzzles have established biological functions and require structural understanding to appreciate their molecular mechanisms. Through the use of fast-track experimental data, including multidimensional chemical mapping, and accurate prediction of RNA secondary structure, a large portion of the contacts in 3D have been predicted correctly leading to similar topologies for the top ranking predictions. Template-based and homology-derived predictions could predict structures to particularly high accuracies. However, achieving biological insights from de novo prediction of RNA 3D structures still depends on the size and complexity of the RNA. Blind computational predictions of RNA structures already appear to provide useful structural information in many cases. Similar to the previous RNA-Puzzles Round II experiment, the prediction of non-Watson–Crick interactions and the observed high atomic clash scores reveal a notable need for an algorithm of improvement. All prediction models and assessment results are available at http://ahsoka.u-strasbg.fr/rnapuzzles/.

Keywords

Footnotes

  • Received December 11, 2016.
  • Accepted January 26, 2017.

This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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  1. RNA 23: 655-672 © 2017 Miao et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society

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