Evidence map›Paper›PMID 33521623›Full record

ArticleMedicine in drug discovery2021

AI drug discovery screening for COVID-19 reveals zafirlukast as a repurposing candidate.

Marcin Delijewski, Jacek Haneczok

Open access · goldAbstract read
In one paragraph

Article in Medicine in drug discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. AΙ-Driven Drug Repurposing: Applications and Challenges.Medicines (Basel, Switzerland) · 2025
    Review
  3. Article
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  5. Article
  6. Article
  7. Review
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  9. Article
  10. Article
  11. Article
  12. Review
  13. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  14. Article
  15. Artificial intelligence-driven drug repurposing and structural biology for SARS-CoV-2.Current research in pharmacology and drug discovery · 2021
    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

2 authors at 1 institution in 1 country.

Marcin DelijewskiDepartment of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland.
Jacek HaneczokErste Group IT, Am Belvedere 1, 1100 Vienna, Austria.
Medical University of Silesia · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOver the past few years, AI has been considered as potential important area for improving drug development and in the current urgent need to fight the global COVID-19 pandemic new technologies are even more in focus with the hope to speed up this process. The purpose of our study was to identify the best repurposing candidates among FDA-approved drugs, based on their predicted antiviral activity against SARS-CoV-2. MATERIALS AND

methodsThis article describes a drug discovery screening based on a supervised machine learning model, trained on KEY

findingsOur study identified zafirlukast as the best repurposing candidate for COVID-19. SIGNIFICANCE: Zafirlukast could be potent against COVID-19 both due to its predicted antiviral properties and its ability to attenuate the so called

Indexed as

AI drug repurposingCOVID-19LTRAMachine learningSARS-CoV-2Zafirlukast

Identifiers

PMID33521623
PMCPMC7836294
OpenAlexW3113725046

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.