Evidence map›Paper›PMID 28525607›Full record

ArticleNucleic acids research2017

RNA-MoIP: prediction of RNA secondary structure and local 3D motifs from sequence data.

Jason Yao, Vladimir Reinharz, François Major, Jérôme Waldispühl

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Getting to the bottom of lncRNA mechanism: structure-function relationships.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Modeling and Predicting RNA Three-Dimensional Structures.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. RNA 3D Structure Prediction Using Coarse-Grained Models.Frontiers in molecular biosciences · 2021
    Review
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jason YaoSchool of Computer Science, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada.
Vladimir ReinharzDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
François MajorInstitute for Research in Immunology and Cancer and Department of Computer Science and Operations Research, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Jérôme WaldispühlSchool of Computer Science, McGill University, 3480 University Street, Montreal, QC H3A 0E9, Canada.

Funding

Computational prediction of RNA 3D structure using low resolution data and a newR01GM088813 · NIGMS · UNIVERSITY OF MONTREAL · PI MAJOR, FRANCOIS · 2010 to 2014
$778k
CIHR BOP-149429NIGMS NIH HHS R01 GM088813
6 · The paper itself

Abstract

RNA structures are hierarchically organized. The secondary structure is articulated around sophisticated local three-dimensional (3D) motifs shaping the full 3D architecture of the molecule. Recent contributions have identified and organized recurrent local 3D motifs, but applications of this knowledge for predictive purposes is still in its infancy. We recently developed a computational framework, named RNA-MoIP, to reconcile RNA secondary structure and local 3D motif information available in databases. In this paper, we introduce a web service using our software for predicting RNA hybrid 2D-3D structures from sequence data only. Optionally, it can be used for (i) local 3D motif prediction or (ii) the refinement of user-defined secondary structures. Importantly, our web server automatically generates a script for the MC-Sym software, which can be immediately used to quickly predict all-atom RNA 3D models. The web server is available at http://rnamoip.cs.mcgill.ca.

Indexed as

Nucleotide MotifsSoftwareBase SequenceInternetModels, MolecularNucleic Acid ConformationRNARNA

Identifiers

PMID28525607
PMCPMC5793723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.