Evidence map›Paper›PMID 20300450›Full record

ArticleInternational journal of data mining and bioinformatics2010

Struct-NB: predicting protein-RNA binding sites using structural features.

Fadi Towfic, Cornelia Caragea, David C Gemperline, Drena Dobbs, Vasant Honavar

Abstract read
In one paragraph

Article in International journal of data mining and bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Advances in the characterization of RNA-binding proteins.Wiley interdisciplinary reviews. RNA · 2016
    Review
  9. Article
  10. Article
  11. Article
  12. Computational Prediction of RNA-Binding Proteins and Binding Sites.International journal of molecular sciences · 2015
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. PRIDB: a Protein-RNA interface database.Nucleic acids research · 2011
    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

5 authors.

Fadi TowficBioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA 50011-1040, USA. ftowfic@cs.iastate.edu
Cornelia Caragea
David C Gemperline
Drena Dobbs
Vasant Honavar

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

We analyse sequence and structural features of protein-RNA interfaces using RB-147, a non-redundant dataset of protein-RNA complexes extracted from the PDB. We train classifiers using machine learning algorithms to predict protein-RNA interfaces from sequence and structure-derived features of proteins. Our experiments show that Struct-NB, a Naive Bayes classifier that exploits structural features, outperforms its counterparts that use only sequence features to predict protein-RNA binding residues.

Indexed as

SoftwareBinding SitesComputational BiologyDatabases, ProteinProtein ConformationRNARNA-Binding ProteinsSequence Analysis, ProteinRNARNA-Binding Proteinspropensityprotein-RNA interactionsstructural features

Identifiers

PMID20300450
PMCPMC2840657

What OpenQuestion holds

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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.