Evidence map›Paper›PMID 29892005›Full record

ArticleScientific reports2018

Exploring the role of unnatural amino acids in antimicrobial peptides.

Rosario Oliva, Marco Chino, Katia Pane, Valeria Pistorio, Augusta De Santis, Elio Pizzo, Gerardino D'Errico, Vincenzo Pavone, Angela Lombardi, Pompea Del Vecchio and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Deep-Learning Driven Identification of Novel Antimicrobial Peptides.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Combining the Peptide RWQWRWQWR and an Ethanolic Extract ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Article
  18. Article
  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

13 authors at 2 institutions in 1 country.

Rosario OlivaDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Marco ChinoDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.ORCID 0000-0002-0436-3293
Katia PaneDepartment of Biology, University of Naples "Federico II", Via Cintia, I-80126, Naples, Italy.
Valeria PistorioDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples "Federico II", Via Pansini, 5, I-80131, Naples, Italy.
Augusta De SantisDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Elio PizzoDepartment of Biology, University of Naples "Federico II", Via Cintia, I-80126, Naples, Italy.
Gerardino D'ErricoDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.ORCID 0000-0001-6383-8618
Vincenzo PavoneDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Angela LombardiDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Pompea Del VecchioDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Eugenio NotomistaDepartment of Biology, University of Naples "Federico II", Via Cintia, I-80126, Naples, Italy.
Flavia NastriDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy.
Luigi PetracconeDepartment of Chemical Sciences, University of Naples "Federico II", via Cintia, I-80126, Naples, Italy. luigi.petraccone@unina.it.
Federico II University Hospital · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cationic antimicrobial peptides (CAMPs) are a promising alternative to treat multidrug-resistant bacteria, which have developed resistance to all the commonly used antimicrobial, and therefore represent a serious threat to human health. One of the major drawbacks of CAMPs is their sensitivity to proteases, which drastically limits their half-life. Here we describe the design and synthesis of three nine-residue CAMPs, which showed high stability in serum and broad spectrum antimicrobial activity. As for all peptides a very low selectivity between bacterial and eukaryotic cells was observed, we performed a detailed biophysical characterization of the interaction of one of these peptides with liposomes mimicking bacterial and eukaryotic membranes. Our results show a surface binding on the DPPC/DPPG vesicles, coupled with lipid domain formation, and, above a threshold concentration, a deep insertion into the bilayer hydrophobic core. On the contrary, mainly surface binding of the peptide on the DPPC bilayer was observed. These observed differences in the peptide interaction with the two model membranes suggest a divergence in the mechanisms responsible for the antimicrobial activity and for the observed high toxicity toward mammalian cell lines. These results could represent an important contribution to unravel some open and unresolved issues in the development of synthetic CAMPs.

Indexed as

Amino AcidsAnti-Infective AgentsAntimicrobial Cationic PeptidesBiophysical PhenomenaCell MembraneGram-Negative BacteriaGram-Positive BacteriaLiposomesMicrobial Sensitivity TestsProtein BindingProtein StabilitySerumAmino AcidsAnti-Infective AgentsAntimicrobial Cationic PeptidesLiposomes

Identifiers

PMID29892005
PMCPMC5995839
OpenAlexW2805446458

What OpenQuestion holds

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Registered trials

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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.