ArticleJournal of mathematical biology2008
RNABC: forward kinematics to reduce all-atom steric clashes in RNA backbone.
Article in Journal of mathematical biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- ChironRNA: Steric Clashes Resolution in RNA Structures via E(3)-Equivariant Diffusion.bioRxiv : the preprint server for biology · 2026Article
- Using Rosetta for RNA homology modeling.Methods in enzymology · 2019Article
- De novo computational RNA modeling into cryo-EM maps of large ribonucleoprotein complexes.Nature methods · 2018Article
- Progress and Current Challenges in Modeling Large RNAs.Journal of molecular biology · 2016Review
- Structures and Energetics of Four Adjacent G·U Pairs That Stabilize an RNA Helix.The journal of physical chemistry. B · 2015Article
- New tools provide a second look at HDV ribozyme structure, dynamics and cleavage.Nucleic acids research · 2014Article
- Studying and polishing the PDB's macromolecules.Biopolymers · 2013Review
- Doing molecular biophysics: finding, naming, and picturing signal within complexity.Annual review of biophysics · 2013Article
- Correcting pervasive errors in RNA crystallography through enumerative structure prediction.Nature methods · 2013Article
- RCrane: semi-automated RNA model building.Acta crystallographica. Section D, Biological crystallography · 2012Article
- The crystal structure of an oligo(U):pre-mRNA duplex from a trypanosome RNA editing substrate.RNA (New York, N.Y.) · 2011Article
- Semiautomated model building for RNA crystallography using a directed rotameric approach.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- PHENIX: a comprehensive Python-based system for macromolecular structure solution.Acta crystallographica. Section D, Biological crystallography · 2010Article
- MolProbity: all-atom structure validation for macromolecular crystallography.Acta crystallographica. Section D, Biological crystallography · 2010Article
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6 authors.
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Abstract
Although accurate details in RNA structure are of great importance for understanding RNA function, the backbone conformation is difficult to determine, and most existing RNA structures show serious steric clashes (>or= 0.4 A overlap) when hydrogen atoms are taken into account. We have developed a program called RNABC (RNA Backbone Correction) that performs local perturbations to search for alternative conformations that avoid those steric clashes or other local geometry problems. Its input is an all-atom coordinate file for an RNA crystal structure (usually from the MolProbity web service), with problem areas specified. RNABC rebuilds a suite (the unit from sugar to sugar) by anchoring the phosphorus and base positions, which are clearest in crystallographic electron density, and reconstructing the other atoms using forward kinematics. Geometric parameters are constrained within user-specified tolerance of canonical or original values, and torsion angles are constrained to ranges defined through empirical database analyses. Several optimizations reduce the time required to search the many possible conformations. The output results are clustered and presented to the user, who can choose whether to accept one of the alternative conformations. Two test evaluations show the effectiveness of RNABC, first on the S-motifs from 42 RNA structures, and second on the worst problem suites (clusters of bad clashes, or serious sugar pucker outliers) in 25 unrelated RNA structures. Among the 101 S-motifs, 88 had diagnosed problems, and RNABC produced clash-free conformations with acceptable geometry for 71 of those (about 80%). For the 154 worst problem suites, RNABC proposed alternative conformations for 72. All but 8 of those were judged acceptable after examining electron density (where available) and local conformation. Thus, even for these worst cases, nearly half the time RNABC suggested corrections suitable to initiate further crystallographic refinement. The program is available from http://kinemage.biochem.duke.edu .
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