Evidence map›Paper›PMID 35364279›Full record

ArticleMethods (San Diego, Calif.)2022

A network biology approach to identify crucial host targets for COVID-19.

Ranjan Kumar Barman, Anirban Mukhopadhyay, Ujjwal Maulik, Santasabuj Das

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Ranjan Kumar BarmanDivision of Virology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India; Department of Computer Science and Engineering, Jadavpur University, Kolkata 700032, India.
Anirban MukhopadhyayDepartment of Computer Science and Engineering, University of Kalyani, Kalyani 741235, West Bengal, India.
Ujjwal MaulikDepartment of Computer Science and Engineering, Jadavpur University, Kolkata 700032, India.
Santasabuj DasDivision of Clinical Medicine, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India; ICMR-National Institute of Occupational Health, Ahmedabad 380016, India. Electronic address: dasss.niced@gov.in.
Jadavpur University · INNational Institute of Occupational Health · INUniversity of Kalyani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing global pandemic of COVID-19, caused by SARS-CoV-2 has killed more than 5.9 million individuals out of ∼43 million confirmed infections. At present, several parts of the world are encountering the 3rd wave. Mass vaccination has been started in several countries but they are less likely to be broadly available for the current pandemic, repurposing of the existing drugs has drawn highest attention for an immediate solution. A recent publication has mapped the physical interactions of SARS-CoV-2 and human proteins by affinity-purification mass spectrometry (AP-MS) and identified 332 high-confidence SARS-CoV-2-human protein-protein interactions (PPIs). Here, we taken a network biology approach and constructed a human protein-protein interaction network (PPIN) with the above SARS-CoV-2 targeted proteins. We utilized a combination of essential network centrality measures and functional properties of the human proteins to identify the critical human targets of SARS-CoV-2. Four human proteins, namely PRKACA, RHOA, CDK5RAP2, and CEP250 have emerged as the best therapeutic targets, of which PRKACA and CEP250 were also found by another group as potential candidates for drug targets in COVID-19. We further found candidate drugs/compounds, such as guanosine triphosphate, remdesivir, adenosine monophosphate, MgATP, and H-89 dihydrochloride that bind the target human proteins. The urgency to prevent the spread of infection and the death of diseased individuals has prompted the search for agents from the pool of approved drugs to repurpose them for COVID-19. Our results indicate that host targeting therapy with the repurposed drugs may be a useful strategy for the treatment of SARS-CoV-2 infection.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentAutoantigensCell Cycle ProteinsDrug RepositioningHumansNerve Tissue ProteinsPandemicsSARS-CoV-2Antiviral AgentsAutoantigensCDK5RAP2 protein, humanCell Cycle ProteinsCEP250 protein, humanNerve Tissue ProteinsCOVID-19Drug repurposingFunctional annotationNetwork biologyNovel coronavirusRank aggregationRdRPSARS-CoV-2

Identifiers

PMID35364279
PMCPMC8960288
OpenAlexW4220906315

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.