Evidence map›Paper›PMID 35809412›Full record

ArticleComputers in biology and medicine2022

In-silico screening and in-vitro assay show the antiviral effect of Indomethacin against SARS-CoV-2.

Rajkumar Chakraborty, Gourab Bhattacharje, Joydeep Baral, Bharat Manna, Jayati Mullick, Basavaraj S Mathapati, Priya Abraham, Madhumathi J, Yasha Hasija, Amit Ghosh and 1 more

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Antiviral activity ofFrontiers in veterinary science · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
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  10. 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 at 4 institutions in 1 country.

Rajkumar ChakrabortyDepartment of Biotechnology, Delhi Technological University, Main Bawana Road, Shahbad Daulatpur, Delhi, 110042, India.
Gourab BhattacharjeDepartment of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Joydeep BaralDepartment of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Bharat MannaSchool of Energy Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
Jayati MullickICMR-National Institute of Virology, Pune, 411001, India.
Basavaraj S MathapatiICMR-National Institute of Virology, Pune, 411001, India.
Priya AbrahamICMR-National Institute of Virology, Pune, 411001, India.
Madhumathi JIndian Council of Medical Research, Delhi, 110029, India.
Yasha HasijaDepartment of Biotechnology, Delhi Technological University, Main Bawana Road, Shahbad Daulatpur, Delhi, 110042, India. Electronic address: yashahasija@dtu.ac.in.
Amit GhoshDepartment of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. Electronic address: amitghosh@iitkgp.ac.in.
Amit Kumar DasSchool of Energy Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. Electronic address: amitk@bt.iitkgp.ac.in.
Indian Institute of Technology Kharagpur · INICMR-National Institute of Virology · INDelhi Technological University · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the worldwide spread of coronavirus disease 19 (COVID-19), and till now, it has caused death to more than 6.2 million people. Although various vaccines and drug candidates are being tested globally with limited to moderate success, a comprehensive therapeutic cure is yet to be achieved. In this study, we applied computational drug repurposing methods complemented with the analyses of the already existing gene expression data to find better therapeutics in treatment and recovery. Primarily, we identified the most crucial proteins of SARS-CoV-2 and host human cells responsible for viral infection and host response. An in-silico screening of the existing drugs was performed against the crucial proteins for SARS-CoV-2 infection, and a few existing drugs were shortlisted. Further, we analyzed the gene expression data of SARS-CoV-2 in human lung epithelial cells and investigated the molecules that can reverse the cellular mRNA expression profiles in the diseased state. LINCS L1000 and Comparative Toxicogenomics Database (CTD) were utilized to obtain two sets of compounds that can be used to counter SARS-CoV-2 infection from the gene expression perspective. Indomethacin, a nonsteroidal anti-inflammatory drug (NSAID), and Vitamin-A were found in two sets of compounds, and in the in-silico screening of existing drugs to treat SARS-CoV-2. Our in-silico findings on Indomethacin were further successfully validated by in-vitro testing in Vero CCL-81 cells with an IC

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsHumansIndomethacinVitaminsAntiviral AgentsIndomethacinVitaminsCOVID-19Differential gene expressionDrug repurposingIndomethacinSARS-CoV-2Virtual screening

Identifiers

PMID35809412
PMCPMC9245396
OpenAlexW4283722810

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.