Evidence map›Paper›PMID 33615161›Full record

ReviewACS pharmacology & translational science2021

Antibiofilm Peptides: Relevant Preclinical Animal Infection Models and Translational Potential.

Gislaine G O S Silveira, Marcelo D T Torres, Camila F A Ribeiro, Beatriz T Meneguetti, Cristiano M E Carvalho, Cesar de la Fuente-Nunez, Octávio L Franco, Marlon H Cardoso

Abstract readReview
In one paragraph

Review in ACS pharmacology & translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
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  10. Review
  11. Article
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  13. Discovery of antibiotics in the archaeome using deep learning.bioRxiv : the preprint server for biology · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Novel technologies uncover novel 'anti'-microbial peptides inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  18. Antibiofilm approaches as a new paradigm for treating infections.Progress in biomedical engineering (Bristol, England) · 2024
    Review
  19. Polyproline peptide targetsCell reports. Physical science · 2024
    Article
  20. 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

8 authors.

Gislaine G O S SilveiraS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.
Marcelo D T TorresMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Camila F A RibeiroS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.
Beatriz T MeneguettiS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.
Cristiano M E CarvalhoS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.
Cesar de la Fuente-NunezMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Octávio L FrancoS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.
Marlon H CardosoS-Inova Biotech, Programa de Pós-Graduação Stricto Sensu em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul 79117-010, Brazil.

Funding

Combining chemical and computational tools for predictive models of microbiome communitiesR35GM138201 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DE LA FUENTE, CESAR · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138201
6 · The paper itself

Abstract

Biofilm-forming bacteria may be 10-1000 times more resistant to antibiotics than planktonic bacteria and represent about 75% of bacterial infections in humans. Antibiofilm treatments are scarce, and no effective therapies have been reported so far. In this context, antibiofilm peptides (ABPs) represent an exciting class of agents with potent activity against biofilms both

Identifiers

PMID33615161
PMCPMC7887742

What OpenQuestion holds

Textmetadata
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.