Evidence map›Paper›PMID 24129600›Full record

ArticleScientific reports2013

Structural basis for a class of nanomolar influenza A neuraminidase inhibitors.

Philip S Kerry, Sankar Mohan, Rupert J M Russell, Nicole Bance, Masahiro Niikura, B Mario Pinto

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Influenza A Virus Neuraminidase Inhibitors.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Article
  4. Article
  5. Inhibition of sialidase activity as a therapeutic approach.Drug design, development and therapy · 2018
    Review
  6. WD40 repeat domain proteins: a novel target class?Nature reviews. Drug discovery · 2017
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

6 authors.

Philip S KerryBiomedical Sciences Research Complex, University of St Andrews, St Andrews, Fife, KY16 9ST, UK.
Sankar Mohan
Rupert J M Russell
Nicole Bance
Masahiro Niikura
B Mario Pinto

Funding

Medical Research Council
6 · The paper itself

Abstract

The influenza virus neuraminidase (NA) is essential for the virus life cycle. The rise of resistance mutations against current antiviral therapies has increased the need for the development of novel inhibitors. Recent efforts have targeted a cavity adjacent to the catalytic site (the 150-cavity) in addition to the primary catalytic subsite in order to increase specificity and reduce the likelihood of resistance. This study details structural and in vitro analyses of a class of inhibitors that bind uniquely in both subsites. Crystal structures of three inhibitors show occupation of the 150-cavity in two distinct and novel binding modes. We believe these are the first nanomolar inhibitors of NA to be characterized in this way. Furthermore, we show that one inhibitor, binding within the catalytic site, offers reduced susceptibility to known resistance mutations via increased flexibility of a pendant pentyloxy group and the ability to pivot about a strong hydrogen-bonding network.

Indexed as

AnimalsAntiviral AgentsCatalytic DomainCell LineDrug Resistance, ViralEnzyme InhibitorsHumansInfluenza A virusInfluenza A Virus, H1N1 SubtypeMicrobial Sensitivity TestsModels, MolecularMolecular ConformationMolecular StructureNeuraminidaseOseltamivirProtein BindingAntiviral AgentsEnzyme InhibitorsNeuraminidaseOseltamivirViral Proteins

Identifiers

PMID24129600
PMCPMC3797432

What OpenQuestion holds

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LicenceCC BY
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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.