In one paragraphArticle in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
11 authors.
Nicholas Silva Dos Santos FilhoLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.ORCID 0009-0004-3989-1573 Lua SilvaGraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Department of Pathology and Legal Medicine, Federal University of Ceará, Fortaleza 60430-160, Brazil.ORCID 0009-0008-6786-4360 Rossana de Aguiar CordeiroGraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Department of Pathology and Legal Medicine, Federal University of Ceará, Fortaleza 60430-160, Brazil.
Patrícia Gomes LimaLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.ORCID 0009-0009-5581-1808 Nilton Araripe Dos Santos NetoPostgraduate Program in Molecular Pathology, Darcy Ribeiro Campus, University of Brasília, Brasília 70910-900, Brazil.
Pedro Victor da Rocha LimaLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.
Francisco Italo Rodrigues GomesLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.ORCID 0009-0001-7699-7332 João Lucas Timbó MororóLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.ORCID 0009-0008-3714-4178 José Hélio de Araújo FilhoBiological Science Department, State University of Rio Grande do Norte, Mossoró 59607-360, Brazil.
Felipe Pantoja MesquitaLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.
Pedro Filho Noronha SouzaLaboratory of Bioinformatics Applied to Human Health, Center for Drug Research and Development (NPDM), Federal University of Ceará, Fortaleza 60355-636, Brazil.ORCID 0000-0003-2524-4434 Funding
Conselho Nacional de Desenvolvimento Científico e Tecnológico 200928371-98321Coordenação de Aperfeicoamento de Pessoal de Nível Superior 8884.55412/874
6 · The paper itselfAbstract
Antimicrobial peptides (AMPs) occur naturally in living organisms and play an essential role in defense against pathogens. Consequently, these peptides are significant in public health research as alternatives in addressing microbial resistance. Here, we present the proteomic profile of
Indexed as
antifungal resistanceantimicrobial peptidescell deathproteomic analysissynthetic peptides
Identifiers
PMID42655144
PMCPMC13515377
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