Evidence map›Paper›PMID 36551368›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects.

Amelia Richter, Darcy Sutherland, Hossein Ebrahimikondori, Alana Babcock, Nathan Louie, Chenkai Li, Lauren Coombe, Diana Lin, René L Warren, Anat Yanai and 5 more

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Mining the UniProtKB/Swiss-Prot database for antimicrobial peptides.Protein science : a publication of the Protein Society · 2025
    Article
  6. Article
  7. Article
  8. De novo synthetic antimicrobial peptide design with a recurrent neural network.Protein science : a publication of the Protein Society · 2024
    Article
  9. Structure-aware deep learning model for peptide toxicity prediction.Protein science : a publication of the Protein Society · 2024
    Article
  10. Article
  11. 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

15 authors.

Amelia RichterCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0003-3921-6936
Darcy SutherlandCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-8851-4975
Hossein EbrahimikondoriCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Alana BabcockDepartment of Chemistry and the Centre for Advanced Materials and Related Technology, University of Victoria, Victoria, BC V8W 3V6, Canada.
Nathan LouieCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Chenkai LiCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-8748-0099
Lauren CoombeCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-7518-2326
Diana LinCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0001-9645-3247
René L WarrenCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-9890-2293
Anat YanaiCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-0792-6901
Monica KotkoffCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Caren C HelbingDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada.ORCID 0000-0002-8861-1070
Fraser HofDepartment of Chemistry and the Centre for Advanced Materials and Related Technology, University of Victoria, Victoria, BC V8W 3V6, Canada.ORCID 0000-0003-4658-9132
Linda M N HoangBritish Columbia Centre for Disease Control, Public Health Laboratory, Vancouver, BC V6Z R4R, Canada.
Inanc BirolCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0003-0950-7839

Funding

Genome British Columbia 291PEPGenome Canada 291PEPUndergraduate Student Research Awards Program of the Natural Sciences and Engineering Research Council of Canada 539907
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development of new therapeutics to combat antimicrobial resistance. Newly developed in silico methods offer the ability to rapidly discover numerous novel AMPs with a variety of physiochemical properties. Herein, using the rAMPage AMP discovery pipeline, we bioinformatically identified 51 AMP candidates from amphibia and insect RNA-seq data and present their in-depth characterization. The studied AMPs demonstrate activity against a panel of bacterial pathogens and have undetected or low toxicity to red blood cells and human cultured cells. Amino acid sequence analysis revealed that 30 of these bioactive peptides belong to either the Brevinin-1, Brevinin-2, Nigrocin-2, or Apidaecin AMP families. Prediction of three-dimensional structures using ColabFold indicated an association between peptides predicted to adopt a helical structure and broad-spectrum antibacterial activity against the Gram-negative and Gram-positive species tested in our panel. These findings highlight the utility of associating the diverse sequences of novel AMPs with their estimated peptide structures in categorizing AMPs and predicting their antimicrobial activity.

Indexed as

AMP discoveryantimicrobial peptideantimicrobial resistancestructure prediction

Identifiers

PMID36551368
PMCPMC9774241

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.