Evidence map›Paper›PMID 28922464›Full record

ArticleJournal of medical virology2018

Molecular dynamics simulation revealed binding of nucleotide inhibitors to ZIKV polymerase over 444 nanoseconds.

Abdo A Elfiky, Wael M Elshemey

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 57 citations in OpenAlex.

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  17. Review
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  19. Bioinformatics and biology insights · 2021
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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 at 2 institutions in 2 countries.

Abdo A ElfikyDepartment of Biophysics, Faculty of Science, Cairo University, Giza, Egypt.ORCID 0000-0003-4600-6240
Wael M ElshemeyDepartment of Biophysics, Faculty of Science, Cairo University, Giza, Egypt.ORCID 0000-0001-8103-9668
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

In the year 2015, new Zika virus (ZIKV) broke out in Brazil and spread away in more than 80 countries. Scientists directed their efforts toward viral polymerase in attempt to find inhibitors that might interfere with its function. In this study, molecular dynamics simulation (MDS) was performed over 444 ns for a ZIKV polymerase model. Molecular docking (MD) was then performed every 10 ns during the MDS course to ensure the binding of small molecules to the polymerase over the entire time of the simulation. MD revealed the binding ability of four suggested guanosine inhibitors (GIs); (Guanosine substituted with OH and SH (phenyl) oxidanyl in the 2' carbon of the ribose ring). The GIs were compared to guanosine triphosphate (GTP) and five anti-hepatitis C virus drugs (either approved or under clinical trials). The mode of binding and the binding performance of GIs to ZIKV polymerase were found to be the same as GTP. Hence, these compounds were capable of competing GTP for the active site. Moreover, GIs bound to ZIKV active site more tightly compared to ribavirin, the wide-range antiviral drug.

Indexed as

Antiviral AgentsBinding SitesBrazilGuanosineGuanosine TriphosphateHumansMolecular Docking SimulationMolecular Dynamics SimulationNucleotidesRNA-Dependent RNA PolymeraseZika VirusAntiviral AgentsGuanosineGuanosine TriphosphateNucleotidesRNA-Dependent RNA Polymeraseguanosine inhibitorsmolecular dockingmolecular dynamics simulationpolymeraseprotein-ligand dockingZika virus

Identifiers

PMID28922464
PMCPMC7166584
OpenAlexW2756337314

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.