Evidence map›Paper›PMID 22013161›Full record

ArticleNucleic acids research2012

canSAR: an integrated cancer public translational research and drug discovery resource.

Mark D Halling-Brown, Krishna C Bulusu, Mishal Patel, Joe E Tym, Bissan Al-Lazikani

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Functional Genomics in Psoriasis.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Aging · 2020
    Article
  14. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
  15. Article
  16. 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

5 authors.

Mark D Halling-BrownCancer Research UK Cancer Therapeutics Unit, Institute of Cancer Research, Haddow Laboratories, Belmont, Surrey SM2 5NG, UK.
Krishna C Bulusu
Mishal Patel
Joe E Tym
Bissan Al-Lazikani

Funding

Cancer Research UK 11566Cancer Research UK C309/A8274
6 · The paper itself

Abstract

canSAR is a fully integrated cancer research and drug discovery resource developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface at http://cansar.icr.ac.uk provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data.

Indexed as

Databases, GeneticAntineoplastic AgentsCell Line, TumorDrug DiscoveryGene ExpressionGenetic VariationHumansInternetModels, MolecularNeoplasmsProtein Interaction MapsRNA InterferenceSystems IntegrationTranslational Research, BiomedicalAntineoplastic Agents

Identifiers

PMID22013161
PMCPMC3245005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.