Evidence map›Paper›PMID 33114184›Full record

ArticleAntibiotics (Basel, Switzerland)2020

The Cell Envelope Stress Response of

Angelika Diehl, Thomas M Wood, Susanne Gebhard, Nathaniel I Martin, Georg Fritz

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2020. 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
1.4field-weighted citation impact, top 17% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. A Boron-Dependent Antibiotic Derived from a Calcium-Dependent Antibiotic.Angewandte Chemie (International ed. in English) · 2024
    Article
  6. Article
  7. Mechanistic insights into the CChemical science · 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

5 authors at 4 institutions in 4 countries.

Angelika DiehlLOEWE Centre for Synthetic Microbiology, Philipps-Universität Marburg, Hans-Meerwein-Strasse 6, 35032 Marburg, Germany.
Thomas M WoodBiological Chemistry Group, Institute of Biology Leiden, Leiden University, Sylviusweg72, 2333 BE Leiden, The Netherlands.ORCID 0000-0001-7270-147X
Susanne GebhardMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.ORCID 0000-0003-4783-6115
Nathaniel I MartinBiological Chemistry Group, Institute of Biology Leiden, Leiden University, Sylviusweg72, 2333 BE Leiden, The Netherlands.
Georg FritzSchool of Molecular Sciences, The University of Western Australia, Crawley 6009, WA, Australia.ORCID 0000-0002-1503-9165
Leiden University · NLPhilipps University of Marburg · DEThe University of Western Australia · AUUniversity of Bath · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M029255/1Deutsche Forschungsgemeinschaft FR3673/1-2European Research Council ERC consolidator grant, grant agreement no. 725523
6 · The paper itself

Abstract

Cell wall antibiotics are important tools in our fight against Gram-positive pathogens, but many strains become increasingly resistant against existing drugs. Laspartomycin C is a novel antibiotic that targets undecaprenyl phosphate (UP), a key intermediate in the lipid II cycle of cell wall biosynthesis. While laspartomycin C has been thoroughly examined biochemically, detailed knowledge about potential resistance mechanisms in bacteria is lacking. Here, we use reporter strains to monitor the activity of central resistance modules in the

Indexed as

Bacillus subtiliscell wall inhibitionfriulimicin Blaspartomycin Cstress response

Identifiers

PMID33114184
PMCPMC7690785
OpenAlexW3093478534

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.