Evidence map›Paper›PMID 17483510›Full record

ArticleNucleic acids research2007

RNABindR: a server for analyzing and predicting RNA-binding sites in proteins.

Michael Terribilini, Jeffry D Sander, Jae-Hyung Lee, Peter Zaback, Robert L Jernigan, Vasant Honavar, Drena Dobbs

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

89 citing papers in PubMed, 183 citations in OpenAlex.

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  17. Protein-assisted RNA fragment docking (RnaX) for modeling RNA-protein interactions using ModelX.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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29 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

7 authors at 1 institution in 1 country.

Michael TerribiliniDepartment of Genetics, Development & Cell Biology, Bioinformatics & Computational Biology Program, Iowa State University, Ames, Iowa 50011, USA.
Jeffry D Sander
Jae-Hyung Lee
Peter Zaback
Robert L Jernigan
Vasant Honavar
Drena Dobbs
Iowa State University · US

Funding

Discovery of Protein Seq.Struct.Func.RelationshipsR33GM066387 · NIGMS · IOWA STATE UNIVERSITY · PI HONAVAR, VASANT G. · 2005 to 2006
$545k
Protein Sequence Structure Function RelationshipsR21GM066387 · NIGMS · IOWA STATE UNIVERSITY · PI HONAVAR, VASANT G. · 2003 to 2004
$291k
NIGMS NIH HHS GM066387NIGMS NIH HHS R21 GM066387NIGMS NIH HHS R33 GM066387
6 · The paper itself

Abstract

Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that identifies and displays RNA-binding residues in known protein-RNA complexes and predicts RNA-binding residues in proteins of unknown structure. RNABindR uses a distance cutoff to identify which amino acids contact RNA in solved complex structures (from the Protein Data Bank) and provides a labeled amino acid sequence and a Jmol graphical viewer in which RNA-binding residues are displayed in the context of the three-dimensional structure. Alternatively, RNABindR can use a Naive Bayes classifier trained on a non-redundant set of protein-RNA complexes from the PDB to predict which amino acids in a protein sequence of unknown structure are most likely to bind RNA. RNABindR automatically displays 'high specificity' and 'high sensitivity' predictions of RNA-binding residues. RNABindR is freely available at http://bindr.gdcb.iastate.edu/RNABindR.

Indexed as

InternetAmino Acid MotifsAmino AcidsAmino Acid SequenceAnimalsBayes TheoremBinding SitesComputational BiologyDatabases, ProteinModels, MolecularMolecular Sequence DataProtein ConformationProteinsRNASoftwareAmino AcidsProteinsRNA

Identifiers

PMID17483510
PMCPMC1933119
OpenAlexW2168055922

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.