<i>RNA-Puzzles</i> Round II: assessment of RNA structure prediction programs applied to three large RNA structures

Zhichao Miao(Centre National de la Recherche Scientifique), Ryszard W. Adamiak(Institute of Bioorganic Chemistry, Polish Academy of Sciences), Marc-Frédérick Blanchet(Institute for Research in Immunology and Cancer), M. Boniecki(International Institute of Molecular and Cell Biology), Janusz M. Bujnicki(International Institute of Molecular and Cell Biology), Shi‐Jie Chen(University of Missouri), Clarence Yu Cheng(Stanford University), Grzegorz Chojnowski(International Institute of Molecular and Cell Biology), Fang‐Chieh Chou(Stanford University), Pablo Cordero(Stanford University), José Almeida Cruz(Centre National de la Recherche Scientifique), A.R. Ferré-D′Amaré(National Heart Lung and Blood Institute), Rhiju Das(Stanford University), Feng Ding(Clemson University), Nikolay V. Dokholyan(University of North Carolina at Chapel Hill), Stanisław Dunin-Horkawicz(International Institute of Molecular and Cell Biology), Wipapat Kladwang(Stanford University), A. Krokhotin(University of North Carolina at Chapel Hill), Grzegorz Łach(International Institute of Molecular and Cell Biology), Marcin Magnus(International Institute of Molecular and Cell Biology), François Major(Institute for Research in Immunology and Cancer), Thomas H. Mann(Stanford University), Benoı̂t Masquida(Génétique Moléculaire Génomique Microbiologie), Dorota Matelska(International Institute of Molecular and Cell Biology), Mélanie Meyer(Institut de Biologie Moléculaire et Cellulaire), Alla Peselis(New York University), Mariusz Popenda(Institute of Bioorganic Chemistry, Polish Academy of Sciences), Katarzyna J. Purzycka(Institute of Bioorganic Chemistry, Polish Academy of Sciences), Alexander Serganov(New York University), Juliusz Stasiewicz(International Institute of Molecular and Cell Biology), Marta Szachniuk(Poznań University of Technology), Arpit Tandon(University of North Carolina at Chapel Hill), Siqi Tian(Stanford University), Jian Wang(Huazhong University of Science and Technology), Yi Xiao(Huazhong University of Science and Technology), Xiaojun Xu(University of Missouri), Jinwei Zhang(National Heart Lung and Blood Institute), Peinan Zhao(University of Missouri), Tomasz Żok(Poznań University of Technology), Éric Westhof(Centre National de la Recherche Scientifique)
RNA
April 16, 2015
Cited by 207Open Access
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Abstract

This paper is a report of a second round of RNA-Puzzles, a collective and blind experiment in three-dimensional (3D) RNA structure prediction. Three puzzles, Puzzles 5, 6, and 10, represented sequences of three large RNA structures with limited or no homology with previously solved RNA molecules. A lariat-capping ribozyme, as well as riboswitches complexed to adenosylcobalamin and tRNA, were predicted by seven groups using RNAComposer, ModeRNA/SimRNA, Vfold, Rosetta, DMD, MC-Fold, 3dRNA, and AMBER refinement. Some groups derived models using data from state-of-the-art chemical-mapping methods (SHAPE, DMS, CMCT, and mutate-and-map). The comparisons between the predictions and the three subsequently released crystallographic structures, solved at diffraction resolutions of 2.5-3.2 Å, were carried out automatically using various sets of quality indicators. The comparisons clearly demonstrate the state of present-day de novo prediction abilities as well as the limitations of these state-of-the-art methods. All of the best prediction models have similar topologies to the native structures, which suggests that computational methods for RNA structure prediction can already provide useful structural information for biological problems. However, the prediction accuracy for non-Watson-Crick interactions, key to proper folding of RNAs, is low and some predicted models had high Clash Scores. These two difficulties point to some of the continuing bottlenecks in RNA structure prediction. All submitted models are available for download at http://ahsoka.u-strasbg.fr/rnapuzzles/.


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