Evidence map›Paper›PMID 21203984›Full record

ReviewProtein & cell2010

Alpha-helical cationic antimicrobial peptides: relationships of structure and function.

Yibing Huang, Jinfeng Huang, Yuxin Chen

Open access · bronzeAbstract readReview
In one paragraph

Review in Protein & cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

216 citing papers in PubMed, 1 synthesis or guideline pooled it, 567 citations in OpenAlex.

  1. Peptide Designs for Use in Caries Management: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  2. Trial
  3. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
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156 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Yibing HuangKey Laboratory for Molecular Enzymology and Engineering of Ministry of Education, Jilin University, Changchun 130021, China.
Jinfeng Huang
Yuxin Chen
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs), with their extraordinary properties, such as broad-spectrum activity, rapid action and difficult development of resistance, have become promising molecules as new antibiotics. Despite their various mechanisms of action, the interaction of AMPs with the bacterial cell membrane is the key step for their mode of action. Moreover, it is generally accepted that the membrane is the primary target of most AMPs, and the interaction between AMPs and eukaryotic cell membranes (causing toxicity to host cells) limits their clinical application. Therefore, researchers are engaged in reforming or de novo designing AMPs as a 'single-edged sword' that contains high antimicrobial activity yet low cytotoxicity against eukaryotic cells. To improve the antimicrobial activity of AMPs, the relationship between the structure and function of AMPs has been rigorously pursued. In this review, we focus on the current knowledge of α-helical cationic antimicrobial peptides, one of the most common types of AMPs in nature.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic PeptidesBacteriaCircular DichroismDrug Resistance, MicrobialProtein Structure, SecondaryStructure-Activity RelationshipAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic Peptides

Identifiers

PMID21203984
PMCPMC4875170
OpenAlexW1973742248

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.