Evidence map›Paper›PMID 28562632›Full record

ArticlePloS one2017

DrugSig: A resource for computational drug repositioning utilizing gene expression signatures.

Hongyu Wu, Jinjiang Huang, Yang Zhong, Qingshan Huang

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning.Database : the journal of biological databases and curation · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Recycled Translation: Repurposing Drugs for Stroke.Translational stroke research · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Drug repositioning: A bibliometric analysis.Frontiers in pharmacology · 2022
    Review
  19. 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

4 authors.

Hongyu WuSchool of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-8944-055X
Jinjiang HuangSchool of Life Sciences, Fudan University, Shanghai, China.
Yang ZhongSchool of Life Sciences, Fudan University, Shanghai, China.
Qingshan HuangSchool of Life Sciences, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational drug repositioning has been proved as an effective approach to develop new drug uses. However, currently existing strategies strongly rely on drug response gene signatures which scattered in separated or individual experimental data, and resulted in low efficient outputs. So, a fully drug response gene signatures database will be very helpful to these methods. We collected drug response microarray data and annotated related drug and targets information from public databases and scientific literature. By selecting top 500 up-regulated and down-regulated genes as drug signatures, we manually established the DrugSig database. Currently DrugSig contains more than 1300 drugs, 7000 microarray and 800 targets. Moreover, we developed the signature based and target based functions to aid drug repositioning. The constructed database can serve as a resource to quicken computational drug repositioning. Database URL: http://biotechlab.fudan.edu.cn/database/drugsig/.

Indexed as

Drug RepositioningGene ExpressionComputational BiologyDatabases, PharmaceuticalInternetOligonucleotide Array Sequence Analysis

Identifiers

PMID28562632
PMCPMC5451001

What OpenQuestion holds

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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.