Evidence map›Paper›PMID 38949271›Full record

ArticleJournal of natural products2024

Analysis of Co-localized Biosynthetic Gene Clusters Identifies a Membrane-Permeabilizing Natural Product.

Xiaoyan Chen, Bo Li

Abstract read
In one paragraph

Article in Journal of natural products, 2024. 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
–field-weighted citation impact
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.

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

2 authors.

Xiaoyan ChenDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0003-4009-2029
Bo LiDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.ORCID 0000-0002-8019-8891

Funding

Mining Genomes for Synergistic AntibioticsDP2HD094657 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, BO · 2017 to 2017
$2.3M
NICHD NIH HHS DP2 HD094657
6 · The paper itself

Abstract

Combination therapy is an effective strategy to combat antibiotic resistance. Multiple synergistic antimicrobial combinations are produced by enzymes encoded in biosynthetic gene clusters (BGCs) that co-localize on the bacterial genome. This phenomenon led to the hypothesis that mining co-localized BGCs will reveal new synergistic combinations of natural products. Here, we bioinformatically identified 38 pairs of co-localized BGCs, which we predict to produce natural products that are related to known compounds, including polycyclic tetramate macrolactams (PoTeMs). We further showed that ikarugamycin, a PoTeM, increases the membrane permeability of

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsBiological ProductsMultigene FamilyStaphylococcus aureusCell Membrane PermeabilityGenome, BacterialMolecular StructureAnti-Bacterial AgentsBiological Products

Identifiers

PMID38949271
PMCPMC12131182

What OpenQuestion holds

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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.