Evidence map›Paper›PMID 33658276›Full record

ArticlemSphere2021

High-Throughput Screen for Inhibitors of the Type IV Pilus Assembly ATPase PilB.

Keane J Dye, Nancy J Vogelaar, Pablo Sobrado, Zhaomin Yang

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Probable Role of Type IV Pili ofPathogens (Basel, Switzerland) · 2024
    Article
  8. Journal of bacteriology · 2023
    Article
  9. Article
  10. Type IV pili trigger episymbiotic association of Saccharibacteria with its bacterial host.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Analysis ofFrontiers in microbiology · 2022
    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

4 authors at 1 institution in 1 country.

Keane J DyeDepartment of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA.
Nancy J VogelaarVirginia Tech Center for Drug Discovery, Virginia Tech, Blacksburg, Virginia, USA.
Pablo SobradoVirginia Tech Center for Drug Discovery, Virginia Tech, Blacksburg, Virginia, USA.
Zhaomin YangDepartment of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA zmyang@vt.edu.ORCID 0000-0002-2044-6793
Virginia Tech · US

Funding

National Science Foundation MCB-1417726National Science Foundation MCB-1919455
6 · The paper itself

Abstract

The bacterial type IV pilus (T4P) is a prominent virulence factor in many significant human pathogens, some of which have become increasingly antibiotic resistant. Antivirulence chemotherapeutics are considered a promising alternative to antibiotics because they target the disease process instead of bacterial viability. However, a roadblock to the discovery of anti-T4P compounds is the lack of a high-throughput screen (HTS) that can be implemented relatively easily and economically. Here, we describe the first HTS for the identification of inhibitors specifically against the T4P assembly ATPase PilB

Indexed as

High-Throughput Screening AssaysAcidobacteriaBacterial ProteinsFimbriae, BacterialModels, MolecularOxidoreductasesQuercetinSmall Molecule LibrariesVirulence FactorsBacterial ProteinsOxidoreductasespilB protein, BacteriaQuercetinSmall Molecule LibrariesVirulence Factorsantivirulencehigh-throughput screen (HTS)motilityMyxococcus xanthusPilB ATPasequercetintype IV pili (T4P)

Identifiers

PMID33658276
PMCPMC8546689
OpenAlexW3133589318

What OpenQuestion holds

Textmetadata
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.