Evidence map›Paper›PMID 30496479›Full record

ArticleNucleic acids research2019

canSAR: update to the cancer translational research and drug discovery knowledgebase.

Elizabeth A Coker, Costas Mitsopoulos, Joesph E Tym, Angeliki Komianou, Christos Kannas, Patrizio Di Micco, Eloy Villasclaras Fernandez, Bugra Ozer, Albert A Antolin, Paul Workman and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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  15. The druggable genome: Twenty years later.Frontiers in bioinformatics · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. p38β - MAPK11 and its role in female cancers.Journal of ovarian research · 2021
    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

11 authors.

Elizabeth A CokerDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Costas MitsopoulosCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
Joesph E TymDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Angeliki KomianouDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Christos KannasDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Patrizio Di MiccoDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Eloy Villasclaras FernandezDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Bugra OzerDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Albert A AntolinDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.
Paul WorkmanCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London SM2 5NG, UK.
Bissan Al-LazikaniDepartment of Data Science, The Institute of Cancer Research, London SM2 5NG, UK.

Funding

Cancer Research UK 23187Cancer Research UK C309/A25144Cancer Research UK C35696/A2318Wellcome Trust 204735/Z/16/Z
6 · The paper itself

Abstract

canSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. canSAR informs researchers to help solve key bottlenecks in cancer translation and drug discovery. It integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and unique, comprehensive and orthogonal 'druggability' assessments. canSAR is widely used internationally by academia and industry. Here we describe major enhancements to canSAR including new and expanded data. We also describe the first components of canSARblack-an advanced, responsive, multi-device compatible redesign of canSAR with a question-led interface.

Indexed as

Antineoplastic AgentsDatabases, PharmaceuticalDrug DiscoveryKnowledge BasesHumansNeoplasmsProtein ConformationProtein Interaction MappingTranslational Research, BiomedicalUser-Computer InterfaceAntineoplastic Agents

Identifiers

PMID30496479
PMCPMC6323893

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.