Evidence map›Paper›PMID 27864902›Full record

ArticleJournal of medical virology2017

Quantitative structure-activity relationship and molecular docking revealed a potency of anti-hepatitis C virus drugs against human corona viruses.

Abdo A Elfiky, Samah M Mahdy, Wael M Elshemey

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

59 citing papers in PubMed, 142 citations in OpenAlex.

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  17. Screening of Severe Acute Respiratory Syndrome Coronavirus 2 RNA-Dependent RNA Polymerase Inhibitors Using Computational Approach.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
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  20. Exploration ofChemical physics · 2021
    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

3 authors at 2 institutions in 2 countries.

Abdo A ElfikyFaculty of Science, Department of Biophysics, Cairo University, Giza, Egypt.
Samah M MahdyFaculty of Science, Department of Biophysics, Cairo University, Giza, Egypt.
Wael M ElshemeyFaculty of Science, Department of Biophysics, Cairo University, Giza, Egypt.
Cairo University · EGThe Abdus Salam International Centre for Theoretical Physics (ICTP) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of human coronaviruses (HCoVs) were reported in the last and present centuries. Some outbreaks of which (eg, SARS and MERS CoVs) caused the mortality of hundreds of people worldwide. The problem of finding a potent drug against HCoV strains lies in the inability of finding a drug that stops the viral replication through inhibiting its important proteins. In spite of its limited efficacy and potential side effects, Ribavirin is extensively used as a first choice against HCoVs. Therefore, scientists reverted towards the investigation of different drugs that can more specifically target proteins. In this study, four anti-HCV drugs (one approved by FDA and others under clinical trials) are tested against HCoV polymerases. Quantitative Structure-Activity Relationship (QSAR) and molecular docking are both used to compare the performance of the selected nucleotide inhibitors to their parent nucleotides and Ribavirin. Both QSAR and molecular docking showed that IDX-184 is superior compared to Ribavirin against MERS CoV, a result that was also reported for HCV. MK-0608 showed a performance that is comparable to Ribavirin. We strongly suggest an in vitro study on the potency of these two drugs against MERS CoV.

Indexed as

Quantitative Structure-Activity RelationshipAntiviral AgentsDNA-Directed RNA PolymerasesDrug Evaluation, PreclinicalDrug RepositioningMolecular Docking SimulationSevere acute respiratory syndrome-related coronavirusAntiviral AgentsDNA-Directed RNA PolymerasesdockingHCVhuman coronavirusnucleotide inhibitorpolymeraseQSAR

Identifiers

PMID27864902
PMCPMC7167072
OpenAlexW2552412210

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.