Evidence map›Paper›PMID 35647667›Full record

ArticleACS chemical biology2022

Characterization of the Key Determinants of Phd Antitoxin Mediated Doc Toxin Inactivation in

Guilherme V de Castro, Dennis J Worm, Grzegorz J Grabe, Fiona C Rowan, Lucy Haggerty, Ana L de la Lastra, Oana Popescu, Sophie Helaine, Anna Barnard

Open access · hybridAbstract read
In one paragraph

Article in ACS chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

9 authors at 2 institutions in 2 countries.

Guilherme V de CastroDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Dennis J WormDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Grzegorz J GrabeDepartment of Microbiology, Harvard Medical School, 4 Blackfan Circle, Boston, Massachusetts 02115, United States.
Fiona C RowanDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Lucy HaggertyDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Ana L de la LastraDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Oana PopescuDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.
Sophie HelaineDepartment of Microbiology, Harvard Medical School, 4 Blackfan Circle, Boston, Massachusetts 02115, United States.
Anna BarnardDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, 82 Wood Lane, London W12 0BZ, United Kingdom.ORCID 0000-0002-1327-3417
Imperial College London · GBHarvard University · US

Funding

Medical Research Council MR/M009629/1Wellcome TrustWellcome Trust 213435/Z/18/Z
6 · The paper itself

Abstract

In the search for novel antimicrobial therapeutics, toxin-antitoxin (TA) modules are promising yet underexplored targets for overcoming antibiotic failure. The bacterial toxin Doc has been associated with the persistence of

Indexed as

AntitoxinsBacterial ToxinsAnti-Bacterial AgentsBacterial ProteinsSalmonellaAnti-Bacterial AgentsAntitoxinsBacterial ProteinsBacterial Toxins

Identifiers

PMID35647667
PMCPMC9207808
OpenAlexW4281724899

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.