Evidence map›Paper›PMID 17401565›Full record

ArticleJournal of mathematical biology2008

RNABC: forward kinematics to reduce all-atom steric clashes in RNA backbone.

Xueyi Wang, Gary Kapral, Laura Murray, David Richardson, Jane Richardson, Jack Snoeyink

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Using Rosetta for RNA homology modeling.Methods in enzymology · 2019
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. RCrane: semi-automated RNA model building.Acta crystallographica. Section D, Biological crystallography · 2012
    Article
  11. Article
  12. Semiautomated model building for RNA crystallography using a directed rotameric approach.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  13. PHENIX: a comprehensive Python-based system for macromolecular structure solution.Acta crystallographica. Section D, Biological crystallography · 2010
    Article
  14. MolProbity: all-atom structure validation for macromolecular crystallography.Acta crystallographica. Section D, Biological crystallography · 2010
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xueyi WangDepartment of Computer Science, UNC Chapel Hill, Chapel Hill, NC 27599-3175, USA. xwang@cs.unc.edu
Gary Kapral
Laura Murray
David Richardson
Jane Richardson
Jack Snoeyink

Funding

Inverse Kinematics, Sterics &Data - To Fit RNA BackboneR01GM074127 · NIGMS · DUKE UNIVERSITY · PI RICHARDSON, JANE SHELBY · 2005 to 2009
$899k
NIGMS NIH HHS R01 GM074127
6 · The paper itself

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 .

Indexed as

Nucleic Acid ConformationComputational BiologyCrystallography, X-RayRNASoftwareRNA

Identifiers

PMID17401565
PMCPMC2153530

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.