Evidence map›Paper›PMID 33585398›Full record

ArticleFrontiers in chemistry2020

Microsecond MD Simulation and Multiple-Conformation Virtual Screening to Identify Potential Anti-COVID-19 Inhibitors Against SARS-CoV-2 Main Protease.

Chandrabose Selvaraj, Umesh Panwar, Dhurvas Chandrasekaran Dinesh, Evzen Boura, Poonam Singh, Vikash Kumar Dubey, Sanjeev Kumar Singh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.1field-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

26 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Discovery of Putative GyrB Inhibitors againstCurrent medicinal chemistry · 2026
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  10. Virtual Screening Process: A Guide in Modern Drug Designing.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. Article
  12. Investigation of the effects ofComputational & theoretical chemistry · 2023
    Article
  13. In silico Screening of Potential SARS-CoV-2 Main Protease Inhibitors fromAdvances and applications in bioinformatics and chemistry : AABC · 2023
    Article
  14. Article
  15. Article
  16. Article
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  18. Article
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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

7 authors at 4 institutions in 2 countries.

Chandrabose SelvarajComputer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
Umesh PanwarComputer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
Dhurvas Chandrasekaran DineshSection of Molecular Biology and Biochemistry, Institute of Organic Chemistry and Biochemistry AS CR, v.v.i., Prague, Czechia.
Evzen BouraSection of Molecular Biology and Biochemistry, Institute of Organic Chemistry and Biochemistry AS CR, v.v.i., Prague, Czechia.
Poonam SinghCorrosion and Materials Protection Division, Council of Scientific and Industrial Research (CSIR)-Central Electrochemical Research Institute, Karaikudi, India.
Vikash Kumar DubeySchool of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, India.
Sanjeev Kumar SinghComputer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi, India.
Alagappa University · INCzech Academy of Sciences, Institute of Organic Chemistry and Biochemistry · CZBanaras Hindu University · INCentral Electrochemical Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent pandemic outbreak of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), raised global health and economic concerns. Phylogenetically, SARS-CoV-2 is closely related to SARS-CoV, and both encode the enzyme main protease (M

Indexed as

COVID-19ensemble samplingmolecular dynamicsnatural productsSARS-CoV-2 main proteaseTCM

Identifiers

PMID33585398
PMCPMC7873971
OpenAlexW3120469917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.