Evidence map›Paper›PMID 35876524›Full record

ReviewMicrobiology spectrum2022

An Nuclear Magnetic Resonance Fingerprint Matching Approach for the Identification and Structural Re-Evaluation of Pseudomonas Lipopeptides.

Vic De Roo, Yentl Verleysen, Benjámin Kovács, Matthias De Vleeschouwer, Penthip Muangkaew, Léa Girard, Monica Höfte, René De Mot, Annemieke Madder, Niels Geudens and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Does regulation hold the key to optimizing lipopeptide production inFrontiers in bioengineering and biotechnology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

11 authors at 2 institutions in 1 country.

Vic De Roo *NMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0002-3418-3285
Yentl Verleysen *NMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0002-5549-607X
Benjámin KovácsNMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0003-2715-5793
Matthias De VleeschouwerNMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0001-6889-1928
Penthip MuangkaewOrganic and Biomimetic Chemistry Research Group, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0001-9957-3877
Léa GirardCentre for Microbial and Plant Genetics, Faculty of Bioscience Engineering, KULeuven, Heverlee-Leuven, Belgium.ORCID 0000-0002-2163-5924
Monica HöfteLaboratory of Phytopathology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent, Belgium.ORCID 0000-0002-0850-3249
René De MotCentre for Microbial and Plant Genetics, Faculty of Bioscience Engineering, KULeuven, Heverlee-Leuven, Belgium.ORCID 0000-0002-0030-9441
Annemieke MadderOrganic and Biomimetic Chemistry Research Group, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0003-0179-7608
Niels GeudensNMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0003-0459-7142
José C MartinsNMR and Structure Analysis Unit, Ghent Universitygrid.5342.0, Department of Organic and Macromolecular Chemistry, Ghent, Belgium.ORCID 0000-0001-7350-2253
Ghent University · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclic lipopeptides (CLiPs) are secondary metabolites secreted by a range of bacterial phyla. CLiPs from Pseudomonas in particular, display diverse structural variations in terms of the number of amino acid residues, macrocycle size, amino acid identity, and stereochemistry (e.g., d- versus l-amino acids). Reports detailing the discovery of novel or already characterized CLiPs from new sources appear regularly in literature. Increasingly, however, the lack of detailed characterization threatens to cause considerable confusion, especially if configurational heterogeneity is present for one or more amino acids. Using Pseudomonas CLiPs from the Bananamide, Orfamide, and Xantholysin groups as test cases, we demonstrate and validate that the combined

Indexed as

LipopeptidesPseudomonasAmino AcidsAnti-Bacterial AgentsMagnetic Resonance SpectroscopyPeptides, CyclicAmino AcidsAnti-Bacterial AgentsLipopeptidesPeptides, Cycliccyclic lipodepsipeptidesdereplicationNMR spectroscopyPseudomonasstereochemistry

Identifiers

PMID35876524
PMCPMC9431178
OpenAlexW4287377748

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.