Evidence map›Paper›PMID 33594342›Full record

ArticleInformatics in medicine unlocked2021

Identification of potential antivirals against SARS-CoV-2 using virtual screening method.

Mohammad Rejaur Rahman, Anik Banik, Ishtiak Malique Chowdhury, Emran Hossain Sajib, Sanchita Sarkar

Open access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 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
3.3field-weighted citation impact, top 7% 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, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. A review onExploration of targeted anti-tumor therapy · 2023
    Review
  10. Article
  11. Review
  12. International journal of molecular sciences · 2021
    Article
  13. Article
  14. Review
  15. 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

5 authors at 1 institution in 1 country.

Mohammad Rejaur RahmanDepartment of Molecular Biology & Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Anik BanikFaculty of Biotechnology & Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Ishtiak Malique ChowdhuryDepartment of Molecular Biology & Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Emran Hossain SajibFaculty of Biotechnology & Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Sanchita SarkarFaculty of Biotechnology & Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Sylhet Agricultural University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has triggered a major epidemic among people around the world, and it is the newest in the sequence to become prevalent among other infectious diseases. The drug repurposing concept has been utilized effectively for numerous viral infections. Considering the situation and the urgency, the idea of drug repurposing for coronavirus infection (COVID-19) is also being studied. The molecular docking method was used for the screening of 29 antiviral drugs against primary protease proteins (MPP) of SARS-CoV-2, spike ecto-domain, spike receptor binding domain, Nsp9 RNA binding protein, and HR2 domain. Among these drugs, in terms of least binding energy, Indinavir, Sorivudine, Cidofovir, and Darunavir showed minimum docking scores with all the key proteins. For ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) analysis, the ADMET properties of the top 4 drug candidates were retrieved through literature study. This analysis revealed that these drug candidates are well metabolized, distributed, and bioavailable, but have some undesirable effects. Furthermore, some approved structural analogues, such as Telbivudine, Tenofovir, Amprenavir, Fosamprenavir, etc., were predicted as similar drugs which may also be used for treating viral infections. We highly recommend these drug candidates as potential fighters against the deadly SARS-CoV-2 virus, and suggest in vivo trials for experimental validation of our findings.

Indexed as

AntiviralsCovid-19Drug repurposingMolecular dockingSARS-CoV-2

Identifiers

PMID33594342
PMCPMC7874919
OpenAlexW3128915734

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.