Evidence map›Paper›PMID 32827661›Full record

ReviewEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences2020

Emerging strategies on in silico drug development against COVID-19: challenges and opportunities.

Manisha Yadav, Swasti Dhagat, J Satya Eswari

Open access · greenAbstract readReview
In one paragraph

Review in European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.8field-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

18 citing papers in PubMed, 36 citations in OpenAlex.

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  14. An overview on the current available treatment for COVID-19 and the impact of antibiotic administration during the pandemic.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
    Review
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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

3 authors at 1 institution in 1 country.

Manisha YadavDepartment of Biotechnology, National Institute of Technology Raipur, C.G., 492010, India.
Swasti DhagatDepartment of Biotechnology, National Institute of Technology Raipur, C.G., 492010, India.
J Satya EswariDepartment of Biotechnology, National Institute of Technology Raipur, C.G., 492010, India. Electronic address: satyaeswarij.bt@nitrr.ac.in.
National Institute of Technology Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of coronaviruses as human pathogen has been highlighted by the recent outbreak of SARS-CoV-2 leading to the search of suitable drugs to overcome respiratory infections caused by the virus. Due to the lack of specific drugs against coronavirus, the existing antiviral and antimalarial drugs are currently being administered to the patients infected with SARS-CoV-2. The scientists are also considering repurposing of some of the existing drugs as a suitable option in search of effective drugs against coronavirus till the establishment of a potent drug and/or vaccine. Computer-aided drug discovery provides a promising attempt to enable scientists to develop new and target specific drugs to combat any disease. The discovery of novel targets for COVID-19 using computer-aided drug discovery tools requires knowledge of the structure of coronavirus and various target proteins present in the virus. Targeting viral proteins will make the drug specific against the virus, thereby, increasing the chances of viral mortality. Hence, this review provides the structure of SARS-CoV-2 virus along with the important viral components involved in causing infection. It also focuses on the role of various target proteins in disease, the mechanism by which currently administered drugs act against the virus and the repurposing of few drugs. The gap arising from the absence of specific drugs is addressed by proposing potential antiviral drug targets which might provide insights into structure-based drug development against SARS-CoV-2.

Indexed as

Computational BiologyAntiviral AgentsComputer SimulationCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentDrug Delivery SystemsDrug DevelopmentDrug DiscoveryDrug RepositioningHumansPandemicsPneumonia, ViralAntiviral AgentsClinical trialsComputational drug discoveryCoronavirusCOVID-19Drug repurposingSARS-CoV-2Target proteins

Identifiers

PMID32827661
PMCPMC7438372
OpenAlexW3077674691

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.