Evidence map›Paper›PMID 21225255›Full record

ReviewThe Journal of membrane biology2011

Antimicrobial peptides: successes, challenges and unanswered questions.

William C Wimley, Kalina Hristova

Abstract readReview
In one paragraph

Review in The Journal of membrane biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers.

0numbers the graph read from it
0cells of the map it votes in
204citing 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

204 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Coordination-Driven CuAdvanced healthcare materials · 2026
    Article
  10. Guidelines for Comparing Circular Dichroism Spectroscopy and Molecular Dynamics Simulations for Biomolecules.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  11. Article
  12. Nanosystems for delivery of indolicidin peptide.Frontiers in medical technology · 2026
    Review
  13. Review
  14. Article
  15. A unified model of transient poration induced by antimicrobial peptides.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

144 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

2 authors.

William C WimleyDepartment of Biochemistry, Tulane University Health Sciences Center, New Orleans, LA 70112, USA. wwimley@tulane.edu
Kalina Hristova

Funding

Seeking the Physical Basis of AchondroplasiaR01GM068619 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HRISTOVA, KALINA · 2004 to 2022
$5.4M
Folding and Design of Beta Sheets in MembranesR01GM060000 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI WIMLEY, WILLIAM C · 2001 to 2010
$2.6M
QI-FRET: a new tool in Receptor Tyrosine Kinase researchR01GM095930 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HRISTOVA, KALINA · 2011 to 2014
$1.4M
NIGMS NIH HHS GM060000NIGMS NIH HHS GM068619NIGMS NIH HHS GM095930NIGMS NIH HHS R01 GM060000NIGMS NIH HHS R01 GM068619NIGMS NIH HHS R01 GM095930
6 · The paper itself

Abstract

Multidrug antibiotic resistance is an increasingly serious public health problem worldwide. Thus, there is a significant and urgent need for the development of new classes of antibiotics that do not induce resistance. To develop such antimicrobial compounds, we must look toward agents with novel mechanisms of action. Membrane-permeabilizing antimicrobial peptides (AMPs) are good candidates because they act without high specificity toward a protein target, which reduces the likelihood of induced resistance. Understanding the mechanism of membrane permeabilization is crucial for the development of AMPs into useful antimicrobial agents. Various models, some phenomenological and others more quantitative or semimolecular, have been proposed to explain the action of AMPs. While these models explain many aspects of AMP action, none of the models captures all of the experimental observations, and significant questions remain unanswered. Here, we discuss the state of the field and pose some questions that, if answered, could speed the discovery of clinically useful peptide antibiotics.

Indexed as

Anti-Infective AgentsAntimicrobial Cationic PeptidesModels, BiologicalCell WallLipid BilayersMembranes, ArtificialAnti-Infective AgentsAntimicrobial Cationic PeptidesLipid BilayersMembranes, Artificial

Identifiers

PMID21225255
PMCPMC3166253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.