Evidence map›Paper›PMID 24002100›Full record

ArticleAntimicrobial agents and chemotherapy2013

Structure-activity relations of myxinidin, an antibacterial peptide derived from the epidermal mucus of hagfish.

Marco Cantisani, Marilisa Leone, Eleonora Mignogna, Katerina Kampanaraki, Annarita Falanga, Giancarlo Morelli, Massimiliano Galdiero, Stefania Galdiero

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  12. An Overview of Supramolecular Platforms Boosting Drug Delivery.Bioinorganic chemistry and applications · 2023
    Review
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  14. Article
  15. Article
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  17. Impact of the Peptide WMR-K on Dual-Species BiofilmPathogens (Basel, Switzerland) · 2021
    Article
  18. Review
  19. Article
  20. 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

8 authors.

Marco CantisaniDepartment of Pharmacy, CIRPEB and DFM, University of Naples "Federico II," Naples, Italy.
Marilisa Leone
Eleonora Mignogna
Katerina Kampanaraki
Annarita Falanga
Giancarlo Morelli
Massimiliano Galdiero
Stefania Galdiero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structure-activity relations of myxinidin, a peptide derived from epidermal mucus of hagfish, Myxine glutinosa L., were investigated. Analysis of key residues allowed us to design new peptides with increased efficiency. Antimicrobial activity of native and modified peptides demonstrated the key role of uncharged residues in the sequence; the loss of these residues reduces almost entirely myxinidin antimicrobial activity, while insertion of arginine at charged and uncharged position increases antimicrobial activity compared with that of native myxinidin. Particularly, we designed a peptide capable of achieving a high inhibitory effect on bacterial growth. Experiments were conducted using both Gram-negative and Gram-positive bacteria. Nuclear magnetic resonance (NMR) studies showed that myxinidin is able to form an amphipathic α-helical structure at the N terminus and a random coil region at the C terminus.

Indexed as

Amino Acid SequenceAnimalsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesEpidermisGram-Negative BacteriaGram-Positive BacteriaHagfishesMicrobial Sensitivity TestsModels, MolecularMolecular Sequence DataMucusNuclear Magnetic Resonance, BiomolecularProtein Structure, SecondaryStatic ElectricityStructure-Activity RelationshipAnti-Bacterial AgentsAntimicrobial Cationic Peptides

Identifiers

PMID24002100
PMCPMC3811310

What OpenQuestion holds

Textmetadata
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.