Evidence map›Paper›PMID 33166390›Full record

ArticleNucleic acids research2021

COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics.

Dmitry Tworowski, Alessandro Gorohovski, Sumit Mukherjee, Gon Carmi, Eliad Levy, Rajesh Detroja, Sunanda Biswas Mukherjee, Milana Frenkel-Morgenstern

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

8 authors.

Dmitry TworowskiLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Alessandro GorohovskiLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Sumit MukherjeeLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Gon CarmiLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Eliad LevyLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Rajesh DetrojaLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Sunanda Biswas MukherjeeLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.
Milana Frenkel-MorgensternLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, Azrieli Faculty of Medicine, Bar-Ilan University, Henrietta Szold 8, Safed 13195, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent outbreak of COVID-19 has generated an enormous amount of Big Data. To date, the COVID-19 Open Research Dataset (CORD-19), lists ∼130,000 articles from the WHO COVID-19 database, PubMed Central, medRxiv, and bioRxiv, as collected by Semantic Scholar. According to LitCovid (11 August 2020), ∼40,300 COVID19-related articles are currently listed in PubMed. It has been shown in clinical settings that the analysis of past research results and the mining of available data can provide novel opportunities for the successful application of currently approved therapeutics and their combinations for the treatment of conditions caused by a novel SARS-CoV-2 infection. As such, effective responses to the pandemic require the development of efficient applications, methods and algorithms for data navigation, text-mining, clustering, classification, analysis, and reasoning. Thus, our COVID19 Drug Repository represents a modular platform for drug data navigation and analysis, with an emphasis on COVID-19-related information currently being reported. The COVID19 Drug Repository enables users to focus on different levels of complexity, starting from general information about (FDA-) approved drugs, PubMed references, clinical trials, recipes as well as the descriptions of molecular mechanisms of drugs' action. Our COVID19 drug repository provide a most updated world-wide collection of drugs that has been repurposed for COVID19 treatments around the world.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsClinical Trials as TopicCOVID-19Databases, PharmaceuticalData MiningDrug ApprovalDrug RepositioningEpidemicsHumansMachine LearningSARS-CoV-2Antiviral Agents

Identifiers

PMID33166390
PMCPMC7778969

What OpenQuestion holds

Textmetadata
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.