Evidence map›Paper›PMID 23776530›Full record

ArticlePloS one2013

A method for WD40 repeat detection and secondary structure prediction.

Yang Wang, Fan Jiang, Zhu Zhuo, Xian-Hui Wu, Yun-Dong Wu

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genome-Wide Identification and Analysis of WD40 Family and Its Expression inInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Receptor-like role for PQLC2 amino acid transporter in the lysosomal sensing of cationic amino acids.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Article
  12. WDSPdb: an updated resource for WD40 proteins.Bioinformatics (Oxford, England) · 2019
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. WD40 repeat domain proteins: a novel target class?Nature reviews. Drug discovery · 2017
    Review
  20. 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.

Yang WangLab of Computational Chemistry and Drug Design, Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, PR China.
Fan Jiang
Zhu Zhuo
Xian-Hui Wu
Yun-Dong Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WD40-repeat proteins (WD40s), as one of the largest protein families in eukaryotes, play vital roles in assembling protein-protein/DNA/RNA complexes. WD40s fold into similar β-propeller structures despite diversified sequences. A program WDSP (WD40 repeat protein Structure Predictor) has been developed to accurately identify WD40 repeats and predict their secondary structures. The method is designed specifically for WD40 proteins by incorporating both local residue information and non-local family-specific structural features. It overcomes the problem of highly diversified protein sequences and variable loops. In addition, WDSP achieves a better prediction in identifying multiple WD40-domain proteins by taking the global combination of repeats into consideration. In secondary structure prediction, the average Q3 accuracy of WDSP in jack-knife test reaches 93.7%. A disease related protein LRRK2 was used as a representive example to demonstrate the structure prediction.

Indexed as

AnimalsDatabases, ProteinHumansMembrane ProteinsNeoplasm ProteinsNerve Tissue ProteinsProteinsProtein Structure, SecondaryLRRN1 protein, humanMembrane ProteinsNeoplasm ProteinsNerve Tissue ProteinsProteins

Identifiers

PMID23776530
PMCPMC3679165

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Registered trials

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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.