Evidence map›Paper›PMID 32561274›Full record

ArticleJournal of infection and public health2020

In silico prediction of potential inhibitors for the main protease of SARS-CoV-2 using molecular docking and dynamics simulation based drug-repurposing.

Yogesh Kumar, Harvijay Singh, Chirag N Patel

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 3% 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

103 citing papers in PubMed, 1 synthesis or guideline pooled it, 230 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recurrent Missense Driver STAT5BAnti-cancer agents in medicinal chemistry · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Discovery of Pyrano[2,3-Pharmaceuticals (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Computational and structural biotechnology journal · 2023
    Article
  18. Article
  19. Article
  20. Review

43 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 3 countries.

Yogesh KumarDepartment of Metabolic & Structural Biology, CSIR-Central Institute of Medicinal & Aromatic Plants, Lucknow 226015, India; Department of Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. Electronic address: kumar.yogesh601@gmail.com.
Harvijay SinghDepartment of Biochemistry, Molecular Biology & Biophysics, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: hsingh@umn.edu.
Chirag N PatelDepartment of Botany, Bioinformatics & Climate Impacts Management, University School of Sciences, Gujarat University, Navrangpur, Ahmedabad 280009, Gujarat, India.
Gujarat University · INUniversität Hamburg · DEUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapidly enlarging COVID-19 pandemic caused by the novel SARS-corona virus-2 is a global public health emergency of an unprecedented level. Unfortunately no treatment therapy or vaccine is yet available to counter the SARS-CoV-2 infection, which substantiates the need to expand research efforts in this direction. The indispensable function of the main protease in virus replication makes this enzyme a promising target for inhibitors screening and drug discovery to treat novel coronavirus infection. The recently concluded α-ketoamide ligand-bound X-ray crystal structure of SARS-CoV-2 M

methodsFor the study, we have targeted the SARS-CoV-2 M

resultsThe phylogenetic analysis of the SARS-CoV-2 genome reveals that the virus is closely related to the Bat-SL-CoV and does not exhibit any divergence at the genomic level. Molecular docking studies revealed that among the 77 drugs, screened top ten drugs shows good binding affinities, whereas the top three drugs: Lopinavir-Ritonavir, Tipranavir, and Raltegravir were undergone for molecular dynamics simulation studies for their conformational stability in the active site of the SARS-CoV-2 M

conclusionsIn the present study among the library of FDA approved antiviral drugs, the top three inhibitors Lopinavir-Ritonavir, Tipranavir, and Raltegravir show the best molecular interaction with the main protease of SARS-CoV-2. However, the in-vitro efficacy of the drug molecules screened in this study further needs to be corroborated by carrying out a biochemical and structural investigation.

Indexed as

Drug RepositioningAntiviral AgentsBetacoronavirusCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesDrug CombinationsHumansLopinavirMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationPandemicsPhylogenyPneumonia, ViralAntiviral AgentsCoronavirus 3C ProteasesCysteine EndopeptidasesDrug CombinationsLopinavirlopinavir-ritonavir drug combinationProtease InhibitorsPyridinesPyronesRaltegravir PotassiumRitonavirSulfonamidestipranavirViral Nonstructural ProteinsCoronavirusCOVID-19DockingDrug repurposingSARS-CoV-2

Identifiers

PMID32561274
PMCPMC7297718
OpenAlexW3034966578

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.