Evidence map›Paper›PMID 23832766›Full record

ArticleMacromolecular bioscience2013

Molecular design, structures, and activity of antimicrobial peptide-mimetic polymers.

Haruko Takahashi, Edmund F Palermo, Kazuma Yasuhara, Gregory A Caputo, Kenichi Kuroda

Abstract read
In one paragraph

Article in Macromolecular bioscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  15. Review
  16. Activity and characterization of a pH-sensitive antimicrobial peptide.Biochimica et biophysica acta. Biomembranes · 2019
    Article
  17. Polymeric Systems as Antimicrobial or Antifouling Agents.International journal of molecular sciences · 2019
    Article
  18. Antimicrobial Polymers: The Potential Replacement of Existing Antibiotics?International journal of molecular sciences · 2019
    Review
  19. Article
  20. 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.

Haruko TakahashiDepartment of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, Michigan, USA; Department of Polymer Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Edmund F Palermo
Kazuma Yasuhara
Gregory A Caputo
Kenichi Kuroda

Funding

Structure-Activity Relationship in Host Defense PeptidesR15GM094330 · NIGMS · ROWAN UNIVERSITY · PI CAPUTO, GREGORY ALEXANDER · 2010 to 2010
$292k
NIGMS NIH HHS 1R15GM094330NIGMS NIH HHS R15 GM094330
6 · The paper itself

Abstract

There is an urgent need for new antibiotics which are effective against drug-resistant bacteria without contributing to resistance development. We have designed and developed antimicrobial copolymers with cationic amphiphilic structures based on the mimicry of naturally occurring antimicrobial peptides. These copolymers exhibit potent antimicrobial activity against a broad spectrum of bacteria including methicillin-resistant Staphylococcus aureus with no adverse hemolytic activity. Notably, these polymers also did not result in any measurable resistance development in E. coli. The peptide-mimetic design principle offers significant flexibility and diversity in the creation of new antimicrobial materials and their potential biomedical applications.

Indexed as

BiomimeticsAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic PeptidesEscherichia coliHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsPolymersStructure-Activity RelationshipAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic PeptidesPolymersantimicrobial materialsbiomimeticscopolymerspeptidesstructure-property relations

Identifiers

PMID23832766
PMCPMC4020117

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.