Evidence map›Paper›PMID 35884206›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage.

Diana Lin, Darcy Sutherland, Sambina Islam Aninta, Nathan Louie, Ka Ming Nip, Chenkai Li, Anat Yanai, Lauren Coombe, René L Warren, Caren C Helbing and 2 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Mining the UniProtKB/Swiss-Prot database for antimicrobial peptides.Protein science : a publication of the Protein Society · 2025
    Article
  3. Review
  4. De novo synthetic antimicrobial peptide design with a recurrent neural network.Protein science : a publication of the Protein Society · 2024
    Article
  5. Structure-aware deep learning model for peptide toxicity prediction.Protein science : a publication of the Protein Society · 2024
    Article
  6. Article
  7. Article
  8. The Expression of Antibacterial Peptide Turgencin A inMolecules (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Peptidomics.Nature reviews. Methods primers · 2023
    Article
  11. Article
  12. Article
  13. 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

12 authors.

Diana LinCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0001-9645-3247
Darcy SutherlandCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Sambina Islam AnintaCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Nathan LouieCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
Ka Ming NipCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-1574-3363
Chenkai LiCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-8748-0099
Anat YanaiCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-0792-6901
Lauren CoombeCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.
René L WarrenCanada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 4S6, Canada.ORCID 0000-0002-9890-2293
Caren C HelbingDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada.ORCID 0000-0002-8861-1070
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 Canada 281ANVGenome Canada 291PEPInvestment Agriculture Foundation of BC INV106University of British Columbia VPRI
6 · The paper itself

Abstract

Antibiotic resistance is a global health crisis increasing in prevalence every day. To combat this crisis, alternative antimicrobial therapeutics are urgently needed. Antimicrobial peptides (AMPs), a family of short defense proteins, are produced naturally by all organisms and hold great potential as effective alternatives to small molecule antibiotics. Here, we present rAMPage, a scalable bioinformatics discovery platform for identifying AMP sequences from RNA sequencing (RNA-seq) datasets. In our study, we demonstrate the utility and scalability of rAMPage, running it on 84 publicly available RNA-seq datasets from 75 amphibian and insect species-species known to have rich AMP repertoires. Across these datasets, we identified 1137 putative AMPs, 1024 of which were deemed novel by a homology search in cataloged AMPs in public databases. We selected 21 peptide sequences from this set for antimicrobial susceptibility testing against

Indexed as

AMP discoveryantimicrobial peptideantimicrobial resistancegenome mining

Identifiers

PMID35884206
PMCPMC9312091

What Socratic 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 Socratic graph.