Evidence map›Paper›PMID 33841751›Full record

ArticleComputational and structural biotechnology journal2021

Identification of multipotent drugs for COVID-19 therapeutics with the evaluation of their SARS-CoV2 inhibitory activity.

Sugandh Kumar, Bharati Singh, Pratima Kumari, Preethy V Kumar, Geetanjali Agnihotri, Shaheerah Khan, Tushar Kant Beuria, Gulam Hussain Syed, Anshuman Dixit

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  5. Methotrexate, an anti-inflammatory drug, inhibits Hepatitis E viral replication.Journal of enzyme inhibition and medicinal chemistry · 2023
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  20. TheViruses · 2022
    Article
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

9 authors at 3 institutions in 1 country.

Sugandh KumarInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Bharati SinghInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Pratima KumariInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Preethy V KumarInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Geetanjali AgnihotriSchool of Chemical Technology, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024, India.
Shaheerah KhanInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Tushar Kant BeuriaInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Gulam Hussain SyedInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Anshuman DixitInstitute of Life Science, Nalco Square, Bhubaneswar, Odisha 751023, India.
Institute of Life Sciences · INRegional Centre for Biotechnology · INKIIT University · IN

Funding

DBT-Wellcome Trust India Alliance IA/I/15/1/501826
6 · The paper itself

Abstract

The SARS-CoV2 is a highly contagious pathogen that causes COVID-19 disease. It has affected millions of people globally with an average lethality of ~3%. There is an urgent need of drugs for the treatment of COVID-19. In the current studies, we have used bioinformatics techniques to screen the FDA approved drugs against nine SARS-CoV2 proteins to identify drugs for repurposing. Additionally, we analyzed if the identified molecules can also affect the human proteins whose expression in lung changed during SARS-CoV2 infection. Targeting such genes may also be a beneficial strategy to curb disease manifestation. We have identified 74 molecules that can bind to various SARS-CoV2 and human host proteins. We experimentally validated our in-silico predictions using vero E6 cells infected with SARS-CoV2 virus. Interestingly, many of our predicted molecules viz. capreomycin, celecoxib, mefloquine, montelukast, and nebivolol showed good activity (IC50) against SARS-CoV2. We hope that these studies may help in the development of new therapeutic options for the treatment of COVID-19.

Indexed as

CoronavirusCOVID-19DockingDrug repurposingMolecular dynamicsNetwork analysisPolypharmacology

Identifiers

PMID33841751
PMCPMC8025584
OpenAlexW3148986617

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.