Evidence map›Paper›PMID 33387249›Full record

ArticleThe protein journal2021

In Silico Evaluation of Prospective Anti-COVID-19 Drug Candidates as Potential SARS-CoV-2 Main Protease Inhibitors.

Mahmoud A A Ibrahim, Alaa H M Abdelrahman, Khaled S Allemailem, Ahmad Almatroudi, Mahmoud F Moustafa, Mohamed-Elamir F Hegazy

Open access · bronzeAbstract read
In one paragraph

Article in The protein journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  8. Review
  9. Journal of integrative bioinformatics · 2022
    Article
  10. Triazavirin-A Novel Effective Antiviral Drug.International journal of molecular sciences · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. ACS omega · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 4 institutions in 2 countries.

Mahmoud A A IbrahimComputational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt. m.ibrahim@compchem.net.ORCID 0000-0003-4819-2040
Alaa H M AbdelrahmanComputational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt.ORCID 0000-0003-3527-0126
Khaled S AllemailemDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0002-6486-9835
Ahmad AlmatroudiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.ORCID 0000-0002-1491-6402
Mahmoud F MoustafaDepartment of Biology, College of Science, King Khalid University, Abha, Saudi Arabia.ORCID 0000-0002-5509-9875
Mohamed-Elamir F HegazyChemistry of Medicinal Plants Department, National Research Centre, 33 El-Bohouth St., Dokki, Giza, Egypt.ORCID 0000-0002-0343-4969
Minia University · EGQassim University · SANational Research Centre · EGSouth Valley University · EG

Funding

King Khalid University R.G.P 2/90/41Science and Technology Development Fund 5480Science and Technology Development Fund 7972
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a recently emanating human infectious coronavirus that causes COVID-19 disease. On 11th March 2020, it has been announced as a pandemic by the World Health Organization (WHO). Recently, several repositioned drugs have been subjected to clinical investigations as anti-COVID-19 drugs. Here, in silico drug discovery tools were utilized to evaluate the binding affinities and features of eighteen anti-COVID-19 drug candidates against SARS-CoV-2 main protease (M

Indexed as

Coronavirus 3C ProteasesCOVID-19 Drug TreatmentDrug DiscoveryMolecular Docking SimulationCOVID-19HumansProtease InhibitorsSARS-CoV-2Coronavirus 3C ProteasesProtease InhibitorsCOVID-19Molecular dockingMolecular dynamicsRepositioned drugsSARS-CoV-2 main protease

Identifiers

PMID33387249
PMCPMC7776322
OpenAlexW3116974416

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.