Evidence map›Paper›PMID 32055842›Full record

ReviewBriefings in bioinformatics2021

Exploration of databases and methods supporting drug repurposing: a comprehensive survey.

Ziaurrehman Tanoli, Umair Seemab, Andreas Scherer, Krister Wennerberg, Jing Tang, Markus Vähä-Koskela

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. From Lab to Clinic: Success Stories of Repurposed Drugs in Treating Major Diseases.Advances in pharmacological and pharmaceutical sciences · 2025
    Review
  13. Article
  14. Current drug discovery technologies · 2025
    Article
  15. Review
  16. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Drug repurposing for cancer therapy.Signal transduction and targeted therapy · 2024
    Review
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.

Ziaurrehman TanoliInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland.
Umair SeemabHaartman Institute, University of Helsinki, Finland.
Andreas SchererInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland.
Krister WennerbergBiotech Research & Innovation Centre (BRIC), University of Copenhagen, Denmark.
Jing TangFaculty of medicine, University of Helsinki, Finland.
Markus Vähä-KoskelaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development involves a deep understanding of the mechanisms of action and possible side effects of each drug, and sometimes results in the identification of new and unexpected uses for drugs, termed as drug repurposing. Both in case of serendipitous observations and systematic mechanistic explorations, confirmation of new indications for a drug requires hypothesis building around relevant drug-related data, such as molecular targets involved, and patient and cellular responses. These datasets are available in public repositories, but apart from sifting through the sheer amount of data imposing computational bottleneck, a major challenge is the difficulty in selecting which databases to use from an increasingly large number of available databases. The database selection is made harder by the lack of an overview of the types of data offered in each database. In order to alleviate these problems and to guide the end user through the drug repurposing efforts, we provide here a survey of 102 of the most promising and drug-relevant databases reported to date. We summarize the target coverage and types of data available in each database and provide several examples of how multi-database exploration can facilitate drug repurposing.

Indexed as

Databases, FactualDrug RepositioningComputational BiologyDrug Delivery SystemsSurveys and Questionnairesbiomolecular databasesdisease databasesdrug databasesdrug repositioningdrug–target interaction databases

Identifiers

PMID32055842
PMCPMC7986597

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.