Evidence map›Paper›PMID 33050360›Full record

ArticleMolecules (Basel, Switzerland)2020

Protease Inhibitory Effect of Natural Polyphenolic Compounds on SARS-CoV-2: An In Silico Study.

Rajveer Singh, Anupam Gautam, Shivani Chandel, Arijit Ghosh, Dhritiman Dey, Syamal Roy, Velayutham Ravichandiran, Dipanjan Ghosh

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

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  5. Journal of integrative bioinformatics · 2022
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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

8 authors at 3 institutions in 2 countries.

Rajveer SinghNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.
Anupam GautamInstitute for Bioinformatics and Medical Informatics, University of Tübingen, Sand 14, 72076 Tübingen, Germany.ORCID 0000-0002-6460-6525
Shivani ChandelNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.
Arijit GhoshDepartment of Chemistry, University of Calcutta, Kolkata 700009, India.ORCID 0000-0001-5530-1909
Dhritiman DeyNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.
Syamal RoyNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.
Velayutham RavichandiranNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.
Dipanjan GhoshNational Institute of Pharmaceutical Education and Research, Kolkata 70054, India.ORCID 0000-0003-3266-9262
National Institute of Pharmaceutical Education and Research · INMax Planck Institute for Biology · DEUniversity of Calcutta · IN

Funding

DBT Govt of Inida BT/pr26301/GET/119/258/2017NIPER Kolkata NIPER Kolkata
6 · The paper itself

Abstract

The current pandemic, caused by SARS-CoV-2 virus, is a severe challenge for human health and the world economy. There is an urgent need for development of drugs that can manage this pandemic, as it has already infected 19 million people and led to the death of around 711,277 people worldwide. At this time, in-silico studies are providing lots of preliminary data about potential drugs, which can be a great help in further in-vitro and in-vivo studies. Here, we have selected three polyphenolic compounds, mangiferin, glucogallin, and phlorizin. These compounds are isolated from different natural sources but share structural similarities and have been reported for their antiviral activity. The objective of this study is to analyze and predict the anti-protease activity of these compounds on SARS-CoV-2main protease (Mpro) and TMPRSS2 protein. Both the viral protein and the host protein play an important role in the viral life cycle, such as post-translational modification and viral spike protein priming. This study has been performed by molecular docking of the compounds using PyRx with AutoDock Vina on the two aforementioned targets chosen for this study, i.e., SARS-CoV-2 Mpro and TMPRSS2. The compounds showed good binding affinity and are further analyzed by (Molecular dynamic) MD and Molecular Mechanics Poisson-Boltzmann Surface Area MM-PBSA study. The MD-simulation study has predicted that these natural compounds will have a great impact on the stabilization of the binding cavity of the Mpro of SARS-CoV-2. The predicted pharmacokinetic parameters also show that these compounds are expected to have good solubility and absorption properties. Further predictions for these compounds also showed no involvement in drug-drug interaction and no toxicity.

Indexed as

Antiviral AgentsBetacoronavirusBiological ProductsComputer SimulationCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesHumansMolecular Docking SimulationPandemicsPneumonia, ViralPolyphenolsProtease InhibitorsSARS-CoV-2Serine EndopeptidasesAntiviral AgentsBiological ProductsCoronavirus 3C ProteasesCysteine EndopeptidasesPolyphenolsProtease InhibitorsSerine EndopeptidasesTMPRSS2 protein, humanViral Nonstructural ProteinsMM-PBSAmolecular dockingmolecular dynamic simulationpolyphenolsSARS-CoV-2

Identifiers

PMID33050360
PMCPMC7587198
OpenAlexW3092640439

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.