Evidence map›Paper›PMID 21408081›Full record

ArticlePloS one2011

TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.

Yi-An Chen, Lokesh P Tripathi, Kenji Mizuguchi

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Target identification and assessment in the era of AI.Nature reviews. Drug discovery · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. TargetMine 2022: a new vision into drug target analysis.Bioinformatics (Oxford, England) · 2022
    Article
  8. HumanMine: advanced data searching, analysis and cross-species comparison.Database : the journal of biological databases and curation · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Effects of Iron Oxide Nanoparticles (γ-FeInternational journal of molecular sciences · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. Article

4 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

3 authors.

Yi-An ChenNational Institute of Biomedical Innovation, Saito-Asagi, Ibaraki, Osaka, Japan.
Lokesh P Tripathi
Kenji Mizuguchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prioritising candidate genes for further experimental characterisation is a non-trivial challenge in drug discovery and biomedical research in general. An integrated approach that combines results from multiple data types is best suited for optimal target selection. We developed TargetMine, a data warehouse for efficient target prioritisation. TargetMine utilises the InterMine framework, with new data models such as protein-DNA interactions integrated in a novel way. It enables complicated searches that are difficult to perform with existing tools and it also offers integration of custom annotations and in-house experimental data. We proposed an objective protocol for target prioritisation using TargetMine and set up a benchmarking procedure to evaluate its performance. The results show that the protocol can identify known disease-associated genes with high precision and coverage. A demonstration version of TargetMine is available at http://targetmine.nibio.go.jp/.

Indexed as

Databases, GeneticSoftwareAnimalsComputational BiologyDiseaseGenetic Association StudiesHumansProtein Structure, TertiaryTranscription FactorsTranscription Factors

Identifiers

PMID21408081
PMCPMC3050930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.