Evidence map›Paper›PMID 25671663›Full record

ArticlePloS one2015

Bioprospecting the American alligator (Alligator mississippiensis) host defense peptidome.

Barney M Bishop, Melanie L Juba, Megan C Devine, Stephanie M Barksdale, Carlos Alberto Rodriguez, Myung C Chung, Paul S Russo, Kent A Vliet, Joel M Schnur, Monique L van Hoek

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Anti-Frontiers in microbiology · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Machine Learning Prediction of Antimicrobial Peptides.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Article
  11. Deimination Protein Profiles inFrontiers in immunology · 2020
    Article
  12. Article
  13. Article
  14. Deep learning improves antimicrobial peptide recognition.Bioinformatics (Oxford, England) · 2018
    Article
  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.

Barney M BishopDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia, United States of America.
Melanie L JubaDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia, United States of America.
Megan C DevineDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia, United States of America.
Stephanie M BarksdaleSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Carlos Alberto RodriguezDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia, United States of America.
Myung C ChungSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Paul S RussoCenter for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, Virginia, United States of America.
Kent A VlietDepartment of Biology, University of Florida, Gainesville, Florida, United States of America.
Joel M SchnurCollege of Science, George Mason University, Fairfax, Virginia, United States of America.
Monique L van HoekSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America; National Center for Biodefense and Infectious Diseases, George Mason University, Manassas, Virginia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cationic antimicrobial peptides and their therapeutic potential have garnered growing interest because of the proliferation of bacterial resistance. However, the discovery of new antimicrobial peptides from animals has proven challenging due to the limitations associated with conventional biochemical purification and difficulties in predicting active peptides from genomic sequences, if known. As an example, no antimicrobial peptides have been identified from the American alligator, Alligator mississippiensis, although their serum is antimicrobial. We have developed a novel approach for the discovery of new antimicrobial peptides from these animals, one that capitalizes on their fundamental and conserved physico-chemical properties. This sample-agnostic process employs custom-made functionalized hydrogel microparticles to harvest cationic peptides from biological samples, followed by de novo sequencing of captured peptides, eliminating the need to isolate individual peptides. After evaluation of the peptide sequences using a combination of rational and web-based bioinformatic analyses, forty-five potential antimicrobial peptides were identified, and eight of these peptides were selected to be chemically synthesized and evaluated. The successful identification of multiple novel peptides, exhibiting antibacterial properties, from Alligator mississippiensis plasma demonstrates the potential of this innovative discovery process in identifying potential new host defense peptides.

Indexed as

BioprospectingProteomicsAlligators and CrocodilesAmino Acid SequenceAnimalsAnti-Infective AgentsBacteriaMolecular Sequence DataPeptidesAnti-Infective AgentsPeptides

Identifiers

PMID25671663
PMCPMC4324634

What OpenQuestion holds

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LicenceCC BY
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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.