Evidence map›Paper›PMID 39885972›Full record

ReviewJournal of pharmaceutical analysis2025

A review on the screening methods for the discovery of natural antimicrobial peptides.

Bin Yang, Hongyan Yang, Jianlong Liang, Jiarou Chen, Chunhua Wang, Yuanyuan Wang, Jincai Wang, Wenhui Luo, Tao Deng, Jialiang Guo

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Phospholipid-Coated FeAntibiotics (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
  9. Parametrization of βJournal of chemical information and modeling · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
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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

10 authors.

Bin YangSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Hongyan YangSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Jianlong LiangSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Jiarou ChenSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Chunhua WangSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Yuanyuan WangSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Jincai WangCollege of Pharmacy, Jinan University, Guangzhou, 510632, China.
Wenhui LuoGuangdong Yifang Pharmaceutical Co., Ltd., Foshan, Guangdong, 528244, China.
Tao DengSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.
Jialiang GuoSchool of Medicine, Foshan University, Foshan, Guangdong, 528000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural antimicrobial peptides (AMPs) are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens. They have found extensive applications in the fields of medicine, food, and agriculture. However, efficiently screening AMPs from natural sources poses several challenges, including low efficiency and high antibiotic resistance. This review focuses on the action mechanisms of AMPs, both through membrane and non-membrane routes. We thoroughly examine various highly efficient AMP screening methods, including whole-bacterial adsorption binding, cell membrane chromatography (CMC), phospholipid membrane chromatography binding, membrane-mediated capillary electrophoresis (CE), colorimetric assays, thin layer chromatography (TLC), fluorescence-based screening, genetic sequencing-based analysis, computational mining of AMP databases, and virtual screening methods. Additionally, we discuss potential developmental applications for enhancing the efficiency of AMP discovery. This review provides a comprehensive framework for identifying AMPs within complex natural product systems.

Indexed as

Antimicrobial peptidesHigh-throughput screeningMechanismNatural products

Identifiers

PMID39885972
PMCPMC11780100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.