Evidence map›Paper›PMID 24158600›Full record

ArticleBioinformatics (Oxford, England)2014

Mouse model phenotypes provide information about human drug targets.

Robert Hoehndorf, Tanya Hiebert, Nigel W Hardy, Paul N Schofield, Georgios V Gkoutos, Michel Dumontier

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. 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. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Of Men and Mice: Modeling the Fragile X Syndrome.Frontiers in molecular neuroscience · 2018
    Article
  11. Integrating phenotype ontologies with PhenomeNET.Journal of biomedical semantics · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The digital revolution in phenotyping.Briefings in bioinformatics · 2016
    Article
  17. Article
  18. Article
  19. Article
  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

6 authors.

Robert HoehndorfDepartment of Computer Science, University of Aberystwyth, Old College, King Street, Aberystwyth SY23 2AX, Department of Biology, Institute of Biochemistry and School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada and Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UK.
Tanya Hiebert
Nigel W Hardy
Paul N Schofield
Georgios V Gkoutos
Michel Dumontier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationMethods for computational drug target identification use information from diverse information sources to predict or prioritize drug targets for known drugs. One set of resources that has been relatively neglected for drug repurposing is animal model phenotype.

resultsWe investigate the use of mouse model phenotypes for drug target identification. To achieve this goal, we first integrate mouse model phenotypes and drug effects, and then systematically compare the phenotypic similarity between mouse models and drug effect profiles. We find a high similarity between phenotypes resulting from loss-of-function mutations and drug effects resulting from the inhibition of a protein through a drug action, and demonstrate how this approach can be used to suggest candidate drug targets. AVAILABILITY AND IMPLEMENTATION: Analysis code and supplementary data files are available on the project Web site at https://drugeffects.googlecode.com.

Indexed as

PhenotypeAnimalsCyclooxygenase 2 InhibitorsDiclofenacDrug RepositioningHumansMiceMice, KnockoutModels, AnimalProteinsCyclooxygenase 2 InhibitorsDiclofenacProteins

Identifiers

PMID24158600
PMCPMC3933875

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.