Evidence map›Paper›PMID 39742298›Full record

ArticleiMeta2024

Bioprospecting of culturable marine biofilm bacteria for novel antimicrobial peptides.

Shen Fan, Peng Qin, Jie Lu, Shuaitao Wang, Jie Zhang, Yan Wang, Aifang Cheng, Yan Cao, Wei Ding, Weipeng Zhang

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. ManagingMolecules (Basel, Switzerland) · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Siderophore sharing protects clonalApplied and environmental microbiology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Host-Associated Biofilms:Microorganisms · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. 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

10 authors.

Shen FanMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Peng QinMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Jie LuMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Shuaitao WangMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Jie ZhangMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Yan WangMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.
Aifang ChengDepartment of Biomedical Sciences, Faculty of Health Sciences University of Macau Taipa Macao SAR China.
Yan CaoCollege of Pulmonary & Critical Care Medicine Chinese PLA General Hospital Beijing China.
Wei DingMOE Key Laboratory of Marine Genetics & Breeding and College of Marine Life Sciences Ocean University of China Qingdao China.ORCID 0000-0002-1847-244X
Weipeng ZhangMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity Ocean University of China Qingdao China.ORCID 0000-0002-1231-8927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) have become a viable source of novel antibiotics that are effective against human pathogenic bacteria. In this study, we construct a bank of culturable marine biofilm bacteria constituting 713 strains and their nearly complete genomes and predict AMPs using ribosome profiling and deep learning. Compared with previous approaches, ribosome profiling has improved the identification and validation of small open reading frames (sORFs) for AMP prediction. Among the 80,430 expressed sORFs, 341 are identified as candidate AMPs with high probability. Most potential AMPs have less than 40% similarity in their amino acid sequence compared to those listed in public databases. Furthermore, these AMPs are associated with bacterial groups that are not previously known to produce AMPs. Therefore, our deep learning model has acquired characteristics of unfamiliar AMPs. Chemical synthesis of 60 potential AMP sequences yields 54 compounds with antimicrobial activity, including potent inhibitory effects on various drug-resistant human pathogens. This study extends the range of AMP compounds by investigating marine biofilm microbiomes using a novel approach, accelerating AMP discovery.

Indexed as

antimicrobial peptidedeep learningmarine biofilmmarine resourceRibo‐seq

Identifiers

PMID39742298
PMCPMC11683478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.