Evidence map›Paper›PMID 33130280›Full record

ArticleEuropean journal of pharmacology2021

Unravelling high-affinity binding compounds towards transmembrane protease serine 2 enzyme in treating SARS-CoV-2 infection using molecular modelling and docking studies.

Pooja M, Gangavaram Jyothi Reddy, Kanipakam Hema, Sujatha Dodoala, Bharathi Koganti

Open access · greenAbstract read
In one paragraph

Article in European journal of pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.2field-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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  13. Discovery of novel TMPRSS2 inhibitors for COVID-19 usingInformatics in medicine unlocked · 2022
    Article
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  15. Article
  16. Therapeutic approaches for SARS-CoV-2 infection.Methods (San Diego, Calif.) · 2021
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  19. Viruses · 2021
    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

5 authors at 3 institutions in 1 country.

Pooja MInstitute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India. Electronic address: poojareddy@spmvv.ac.in.
Gangavaram Jyothi ReddyDepartment of Pharmacology, SVU College of Pharmaceutical Sciences, Sri Venkateswara University, Tirupati, 517502, Andhra Pradesh, India.
Kanipakam HemaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India.
Sujatha DodoalaInstitute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India.
Bharathi KogantiInstitute of Pharmaceutical Technology, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, 517502, Andhra Pradesh, India.
Sri Padmavati Mahila Visvavidyalayam · INInternational Centre for Genetic Engineering and Biotechnology · INSri Venkateswara University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease-19 (COVID-19) outbreak that is caused by a highly contagious severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has become a zoonotic pandemic, with approximately 24.5 million positive cases and 8.3 lakhs deaths globally. The lack of effective drugs or vaccine provoked the research for drug candidates that can disrupt the spread and progression of the virus. The identification of drug molecules through experimental studies is time-consuming and expensive, so there is a need for developing alternative strategies like in silico approaches which can yield better outcomes in less time. Herein, we selected transmembrane protease serine 2 (TMPRSS2) enzyme, a potential pharmacological target against SARS-CoV-2, involved in the spread and pathogenesis of the virus. Since 3D structure is not available for this protein, the present study aims at homology modelling and validation of TMPRSS2 using Swiss-model server. Validation of the modelled TMPRSS2 using various online tools confirmed model accuracy, topology and stereochemical plausibility. The catalytic triad consisting of Serine-441, Histidine-296 and Aspartic acid-345 was identified as active binding site of TMPRSS2 using existing ligands. Molecular docking studies of various drugs and phytochemicals against the modelled TMPRSS2 were performed using camostat as a standard drug. The results revealed eight potential drug candidates, namely nafamostat, meloxicam, ganodermanontriol, columbin, myricetin, proanthocyanidin A2, jatrorrhizine and baicalein, which were further studied for ADME/T properties. In conclusion, the study unravelled eight high affinity binding compounds, which may serve as potent antagonists against TMPRSS2 to impact COVID-19 drug therapy.

Indexed as

Models, MolecularAntiviral AgentsBenzamidinesBerberineBinding SitesCOVID-19 Drug TreatmentDiterpenesFlavanonesFlavonoidsGuanidinesLactonesLanosterolMeloxicamProanthocyanidinsProtein BindingSARS-CoV-2Antiviral AgentsbaicaleinBenzamidinesBerberinecolumbinDiterpenesFlavanonesFlavonoidsganodermanontriolGuanidinesjatrorrhizineLactonesLanosterolMeloxicammyricetinnafamostatproanthocyanidin A2ProanthocyanidinsSerine EndopeptidasesSerine Proteinase InhibitorsTMPRSS2 protein, humanCOVID-19Drug repurposingHomology modellingMolecular dockingSARS-CoV-2TMPRSS2

Identifiers

PMID33130280
PMCPMC7598566
OpenAlexW3095138804

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.