Evidence map›Paper›PMID 24356381›Full record

ArticleScientific reports2013

Computational assay of H7N9 influenza neuraminidase reveals R292K mutation reduces drug binding affinity.

Christopher J Woods, Maturos Malaisree, Ben Long, Simon McIntosh-Smith, Adrian J Mulholland

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 40 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

5 authors at 1 institution in 1 country.

Christopher J WoodsCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
Maturos MalaisreeCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
Ben LongDepartment of Computer Science, University of Bristol, Bristol, UK.
Simon McIntosh-SmithDepartment of Computer Science, University of Bristol, Bristol, UK.
Adrian J MulhollandCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
University of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of a novel H7N9 avian influenza that infects humans is a serious cause for concern. Of the genome sequences of H7N9 neuraminidase available, one contains a substitution of arginine to lysine at position 292, suggesting a potential for reduced drug binding efficacy. We have performed molecular dynamics simulations of oseltamivir, zanamivir and peramivir bound to H7N9, H7N9-R292K, and a structurally related H11N9 neuraminidase. They show that H7N9 neuraminidase is structurally homologous to H11N9, binding the drugs in identical modes. The simulations reveal that the R292K mutation disrupts drug binding in H7N9 in a comparable manner to that observed experimentally for H11N9-R292K. Absolute binding free energy calculations with the WaterSwap method confirm a reduction in binding affinity. This indicates that the efficacy of antiviral drugs against H7N9-R292K will be reduced. Simulations can assist in predicting disruption of binding caused by mutations in neuraminidase, thereby providing a computational 'assay.'

Indexed as

Acids, CarbocyclicAntiviral AgentsComputational BiologyCyclopentanesDrug Resistance, ViralEnzyme InhibitorsGuanidinesHumansInfluenza A Virus, H7N9 SubtypeInfluenza, HumanMolecular Dynamics SimulationMutationNeuraminidaseOseltamivirProtein BindingZanamivirAcids, CarbocyclicAntiviral AgentsCyclopentanesEnzyme InhibitorsGuanidinesNeuraminidaseOseltamivirperamivirZanamivir

Identifiers

PMID24356381
PMCPMC3868970
OpenAlexW2047324453

What OpenQuestion holds

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LicenceCC BY
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.