4.4 Article

RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers

Journal

RNA
Volume 26, Issue 8, Pages 982-995

Publisher

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1261/rna.075341.120

Keywords

RNA structure; aptamer; modeling; prediction; ribozyme

Funding

  1. Single Cell Gene Expression Atlas from the Wellcome Trust [108437/Z/15/Z]
  2. French National Program Investissement d'Avenir (Labex NetRNA) [ANR-10-LABX-0036_NETRNA]
  3. NSFC [31570722, 11874162]
  4. Polish National Science Center (NCN) [2016/23/B/ST6/03931, 2012/04/A/NZ2/00455, 2015/17/N/NZ2/03360]
  5. Poznan University of Technology, Poland
  6. NIH [R01-GM117059, R01-GM063732, R35 GM122579, R21 CA219847, R01-GM073850]
  7. Cancer Research UK program [A18604]
  8. Foundation for Polish Science (FNP) [POIR.04.04.00-00-3CF0/16]
  9. National Institutes for Health [5R01GM123247, 2R01 GM114015, 1R35 GM134864]
  10. Passan Foundation
  11. National Center for Advancing Translational Sciences, National Institutes of Health [UL1 TR002014]
  12. Shanghai Fourth People's Hospital

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RNA-Puzzles is a collective endeavor dedicated to the advancement and improvement of RNA 3D structure prediction. With agreement from crystallographers, the RNA structures are predicted by various groups before the publication of the crystal structures. We now report the prediction of 3D structures for six RNA sequences: four nucleolytic ribozymes and two riboswitches. Systematic protocols for comparing models and crystal structures are described and analyzed. In these six puzzles, we discuss (i) the comparison between the automated web servers and human experts; (ii) the prediction of coaxial stacking; (iii) the prediction of structural details and ligand binding; (iv) the development of novel prediction methods; and (v) the potential improvements to be made. We show that correct prediction of coaxial stacking and tertiary contacts is essential for the prediction of RNA architecture, while ligand binding modes can only be predicted with low resolution and simultaneous prediction of RNA structure with accurate ligand binding still remains out of reach. All the predicted models are available for the future development of force field parameters and the improvement of comparison and assessment tools.

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