Evidence map›Paper›PMID 27131381›Full record

ArticleNucleic acids research2016

Fragment-based modelling of single stranded RNA bound to RNA recognition motif containing proteins.

Isaure Chauvot de Beauchene, Sjoerd J de Vries, Martin Zacharias

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Predicting Single-Stranded DNA Oligonucleotides 3D Structures: An Open Issue.Computational and structural biotechnology journal · 2026
    Article
  3. Article
  4. Low Molecular Weight Inhibitors Targeting the RNA-Binding Protein HuR.International journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
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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

3 authors at 1 institution in 1 country.

Isaure Chauvot de BeauchenePhysics Department T38, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany.
Sjoerd J de VriesPhysics Department T38, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany.
Martin ZachariasPhysics Department T38, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany martin.zacharias@ph.tum.de.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-RNA complexes are important for many biological processes. However, structural modeling of such complexes is hampered by the high flexibility of RNA. Particularly challenging is the docking of single-stranded RNA (ssRNA). We have developed a fragment-based approach to model the structure of ssRNA bound to a protein, based on only the protein structure, the RNA sequence and conserved contacts. The conformational diversity of each RNA fragment is sampled by an exhaustive library of trinucleotides extracted from all known experimental protein-RNA complexes. The method was applied to ssRNA with up to 12 nucleotides which bind to dimers of the RNA recognition motifs (RRMs), a highly abundant eukaryotic RNA-binding domain. The fragment based docking allows a precise de novo atomic modeling of protein-bound ssRNA chains. On a benchmark of seven experimental ssRNA-RRM complexes, near-native models (with a mean heavy-atom deviation of <3 Å from experiment) were generated for six out of seven bound RNA chains, and even more precise models (deviation < 2 Å) were obtained for five out of seven cases, a significant improvement compared to the state of the art. The method is not restricted to RRMs but was also successfully applied to Pumilio RNA binding proteins.

Indexed as

Models, MolecularAmino Acid MotifsMolecular Docking SimulationNucleic Acid ConformationRNARNA-Binding MotifsRNA Recognition Motif ProteinsRNARNA Recognition Motif Proteins

Identifiers

PMID27131381
PMCPMC4889956
OpenAlexW2342972270

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.