Evidence map›Paper›PMID 35151891›Full record

ReviewDrug discovery today2022

Drug repurposing against SARS-CoV-2 using computational approaches.

Sumit Kumar, Svitlana Kovalenko, Shakshi Bhardwaj, Aaftaab Sethi, Nikolay Yu Gorobets, Sergey M Desenko, Poonam, Brijesh Rathi

Abstract readReview
In one paragraph

Review in Drug discovery today, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Nature's cryptographic codebreakerFrontiers in microbiology · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Sumit KumarDepartment of Chemistry, Miranda House, University of Delhi, Delhi 110007, India.
Svitlana KovalenkoDepartment of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine.
Shakshi BhardwajLaboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India.
Aaftaab SethiLaboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India.
Nikolay Yu GorobetsDepartment of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine. Electronic address: nikolay.gorobets@gmail.com.
Sergey M DesenkoDepartment of Organic and Bioorganic Chemistry, State Scientific Institution 'Institute for Single Crystals', National Academy of Sciences of Ukraine, Nauky Ave. 60, Kharkiv 61001, Ukraine.
PoonamDepartment of Chemistry, Miranda House, University of Delhi, Delhi 110007, India. Electronic address: poonam.chemistry@mirandahouse.ac.in.
Brijesh RathiLaboratory for Translational Chemistry and Drug Discovery, Department of Chemistry, Hansraj College, University of Delhi, India. Electronic address: brijeshrathi@hrc.du.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has generated a critical need for treatments to reduce morbidity and mortality associated with this disease. However, traditional drug development takes many years, which is not practical solution given the current pandemic. Therefore, a viable option is to repurpose existing drugs. The structural data of several proteins vital for the virus became available shortly after the start of the pandemic. In this review, we discuss the importance of these targets and their available potential inhibitors predicted by the computational approaches. Among the hits identified by computational approaches, 35 candidates were suggested for further evaluation, among which ten drugs are in clinical trials (Phase III and IV) for treating Coronavirus 2019 (COVID-19).

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsDrug RepositioningHumansMolecular Docking SimulationAntiviral AgentsComputational approachesCOVID-19Drug repurposingMolecular dockingSARS-CoV-2

Identifiers

PMID35151891
PMCPMC8830191

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.