Evidence map›Paper›PMID 32837137›Full record

ReviewMedicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents2020

Genomics insights of SARS-CoV-2 (COVID-19) into target-based drug discovery.

P Chellapandi, S Saranya

Abstract readReview
In one paragraph

Review in Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

2 authors.

P ChellapandiMolecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620024 India.ORCID 0000-0003-4721-392X
S SaranyaMolecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620024 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 is a global health emergency and no clinically approved vaccines or antiviral drugs available to date. Intensive research on SARS-CoV-2 is urgently warranted to understand its pathogenesis and virulence mechanisms and to discover target-based antiviral therapeutics. Among various research logics, current bioinformatics highlights novel testable hypotheses for systematic drug repositioning and designing against COVID-19. A total of 121 articles related to bioinformatics facets of this virus were collected from the PubMed Central. The content of each investigation was comprehensively reviewed, manually curated, and included herein. Interestingly, 109 COVID-19-related literature published in 2020 (January-June) were included in this review. The present article emphasizes novel resource development on its genome structure, evolution, therapeutic targets, drug designing, and drug repurposing strategies. Genome organization, the function of coding genes, origin, and evolution of SARS-CoV-2 is described in detail. Genomic insights into understanding the structure-function relationships of drug targets including spike, main protease, and RNA-dependent RNA polymerase of SARS-CoV-2 are discussed intensively. Several molecular docking and systems pharmacology approaches have been investigated some promising antiviral drugs against SARS-CoV-2 based on its genomic characteristics, pathogenesis mechanism, and host specificity. Perhaps, the present genomic insights of this virus will provide a lead to the researchers to design or repurpose of antiviral drugs soon and future directions to control the spread of COVID-19.

Indexed as

COVID-19Drug targetGenomicsMolecular dockingNetwork pharmacologySARS-CoV-2

Identifiers

PMID32837137
PMCPMC7394272

What OpenQuestion holds

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Registered trials

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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.