Evidence map›Paper›PMID 27087444›Full record

ArticleCell2016

3D RNA and Functional Interactions from Evolutionary Couplings.

Caleb Weinreb, Adam J Riesselman, John B Ingraham, Torsten Gross, Chris Sander, Debora S Marks

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
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

88 citing papers in PubMed, 191 citations in OpenAlex.

  1. Article
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  5. Structure and evolution-guided design of minimal RNA-guided nucleases.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Generating Artificial Ribozymes Using Sparse Coevolutionary Models.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
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  18. Review
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Caleb WeinrebDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Adam J RiesselmanDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Program in Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
John B IngrahamDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Torsten GrossDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Institute of Pathology, Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany.
Chris SanderDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Debora S MarksDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: debbie@hms.harvard.edu.
Center for Systems Biology · USHarvard University · US

Funding

Accelerated Determination of 3D Structures of Proteins and ComplexesR01GM106303 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2013 to 2016
$1.7M
NIGMS NIH HHS R01 GM106303
6 · The paper itself

Abstract

Non-coding RNAs are ubiquitous, but the discovery of new RNA gene sequences far outpaces the research on the structure and functional interactions of these RNA gene sequences. We mine the evolutionary sequence record to derive precise information about the function and structure of RNAs and RNA-protein complexes. As in protein structure prediction, we use maximum entropy global probability models of sequence co-variation to infer evolutionarily constrained nucleotide-nucleotide interactions within RNA molecules and nucleotide-amino acid interactions in RNA-protein complexes. The predicted contacts allow all-atom blinded 3D structure prediction at good accuracy for several known RNA structures and RNA-protein complexes. For unknown structures, we predict contacts in 160 non-coding RNA families. Beyond 3D structure prediction, evolutionary couplings help identify important functional interactions-e.g., at switch points in riboswitches and at a complex nucleation site in HIV. Aided by increasing sequence accumulation, evolutionary coupling analysis can accelerate the discovery of functional interactions and 3D structures involving RNA.

Indexed as

Nucleic Acid ConformationEntropyEvolution, MolecularModels, MolecularRibosomesRNA-Binding ProteinsRNA FoldingRNA, UntranslatedRNA-Binding ProteinsRNA, Untranslated

Identifiers

PMID27087444
PMCPMC5024353
OpenAlexW2342307854

What OpenQuestion holds

Textmetadata
LicenceTDM
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.