Evidence map›Paper›PMID 31451498›Full record

ArticleAntimicrobial agents and chemotherapy2019

Screening the

Kathy Parisi, Stephen R Doyle, Eunice Lee, Rohan G T Lowe, Nicole L van der Weerden, Marilyn A Anderson, Mark R Bleackley

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Membrane-Interacting Antifungal Peptides.Frontiers in cell and developmental biology · 2021
    Review
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

7 authors at 2 institutions in 2 countries.

Kathy ParisiDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia.
Stephen R DoyleWellcome Sanger Institute, Hinxton, Cambridgeshire, United Kingdom.
Eunice LeeDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia.
Rohan G T LoweDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia.
Nicole L van der WeerdenDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia.
Marilyn A AndersonDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia.
Mark R BleackleyDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, Bundoora, Victoria, Australia m.bleackley@latrobe.edu.au.ORCID 0000-0002-9717-7560
La Trobe University · AUWellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant defensins are a large family of proteins, most of which have antifungal activity against a broad spectrum of fungi. However, little is known about how they exert their activity. The mechanisms of action of only a few members of the family have been investigated and, in most cases, there are still a number of unknowns. To gain a better understanding of the antifungal mechanisms of a set of four defensins, NaD1, DmAMP1, NbD6, and SBI6, we screened a pooled collection of the nonessential gene deletion set of

Indexed as

Amino Acid SequenceAntifungal AgentsDefensinsFusariumGene DeletionGene LibraryGenes, FungalPlantsSaccharomyces cerevisiaeSequence DeletionAntifungal AgentsDefensinsantifungal agentsdefensinsmechanisms of action

Identifiers

PMID31451498
PMCPMC6811411
OpenAlexW2969522611

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.