Evidence map›Paper›PMID 33189776›Full record

ArticleGenomics2021

Repurposed drugs and nutraceuticals targeting envelope protein: A possible therapeutic strategy against COVID-19.

Gourab Das, Troyee Das, Nilkanta Chowdhury, Durbadal Chatterjee, Angshuman Bagchi, Zhumur Ghosh

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Paving New Roads UsingIranian journal of pharmaceutical research : IJPR · 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

6 authors at 2 institutions in 1 country.

Gourab DasDivision of Bioinformatics, Bose Institute, P-1/12, CIT Scheme VIIM, Kankurgachi, Kolkata 700 054, India. Electronic address: gourab4gd@gmail.com.
Troyee DasDivision of Bioinformatics, Bose Institute, P-1/12, CIT Scheme VIIM, Kankurgachi, Kolkata 700 054, India. Electronic address: troyee@jcbose.ac.in.
Nilkanta ChowdhuryDepartment of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia 741235, West Bengal, India. Electronic address: nil5two@gmail.com.
Durbadal ChatterjeeDivision of Bioinformatics, Bose Institute, P-1/12, CIT Scheme VIIM, Kankurgachi, Kolkata 700 054, India. Electronic address: cdurbadal@gmail.com.
Angshuman BagchiDepartment of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia 741235, West Bengal, India. Electronic address: angshu@klyuniv.ac.in.
Zhumur GhoshDivision of Bioinformatics, Bose Institute, P-1/12, CIT Scheme VIIM, Kankurgachi, Kolkata 700 054, India. Electronic address: zhumur@jcbose.ac.in.
Bose Institute · INUniversity of Kalyani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic caused by SARS-CoV-2 has already claimed millions of lives worldwide due to the absence of a suitable anti-viral therapy. The CoV envelope (E) protein, which has not received much attention so far, is a 75 amino acid long integral membrane protein involved in assembly and release of the virus inside the host. Here we have used artificial intelligence (AI) and pattern recognition techniques for initial screening of FDA approved pharmaceuticals and nutraceuticals to target this E protein. Subsequently, molecular docking simulations have been performed between the ligands and target protein to screen a set of 9 ligand molecules. Finally, we have provided detailed insight into their mechanisms of action related to the varied symptoms of infected patients.

Indexed as

COVID-19 Drug TreatmentDietary SupplementsDrug RepositioningAntiviral AgentsArtificial IntelligenceConserved SequenceCoronavirus Envelope ProteinsCOVID-19Drug Evaluation, PreclinicalHumansMachine LearningModels, MolecularMolecular Docking SimulationPandemicsPattern Recognition, AutomatedSARS-CoV-2Antiviral AgentsCoronavirus Envelope Proteinsenvelope protein, SARS-CoV-2AI based screeningDrug designingDrug repurposingE proteinMolecular docking simulationsNutraceuticalsPattern recognitionSARS-CoV-2 infection

Identifiers

PMID33189776
PMCPMC7661923
OpenAlexW3101432423

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.