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Antimicrobial peptides designed by computational analysis of proteomes

Monsalve, Dahiana ; Mesa, Andrea ; Mira, Laura M. ; Mera, Carlos ; Orduz, Sergio ; Branch-Bedoya, John W.

Antonie van Leeuwenhoek, 2024-12, Vol.117 (1), p.55-55, Article 55 [Periódico revisado por pares]

Cham: Springer International Publishing

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Título:
Antimicrobial peptides designed by computational analysis of proteomes
Autor: Monsalve, Dahiana ; Mesa, Andrea ; Mira, Laura M. ; Mera, Carlos ; Orduz, Sergio ; Branch-Bedoya, John W.
Assuntos: Anti-Bacterial Agents - pharmacology ; Anti-Infective Agents - chemistry ; Anti-Infective Agents - pharmacology ; Antibiotic resistance ; Antimicrobial Cationic Peptides - chemistry ; Antimicrobial Cationic Peptides - pharmacology ; Antimicrobial Peptides ; Artificial Intelligence ; Bacteria ; Bioassays ; Biomedical and Life Sciences ; Cell membranes ; Computer applications ; Grooves ; Life Sciences ; Medical Microbiology ; Microbial Sensitivity Tests ; Microbiology ; Original Paper ; Peptides ; Plant Sciences ; Proteins ; Proteome ; Proteomes ; Software ; Soil Science & Conservation ; Yeasts
É parte de: Antonie van Leeuwenhoek, 2024-12, Vol.117 (1), p.55-55, Article 55
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: Antimicrobial peptides (AMPs) are promising cationic and amphipathic molecules to fight antibiotic resistance. To search for novel AMPs, we applied a computational strategy to identify peptide sequences within the organisms' proteome, including in-house developed software and artificial intelligence tools. After analyzing 150.450 proteins from eight proteomes of bacteria, plants, a protist, and a nematode, nine peptides were selected and modified to increase their antimicrobial potential. The 18 resulting peptides were validated by bioassays with four pathogenic bacterial species, one yeast species, and two cancer cell-lines. Fourteen of the 18 tested peptides were antimicrobial, with minimum inhibitory concentrations (MICs) values under 10 µM against at least three bacterial species; seven were active against Candida albicans with MICs values under 10 µM; six had a therapeutic index above 20; two peptides were active against A549 cells, and eight were active against MCF-7 cells under 30 µM. This study's most active antimicrobial peptides damage the bacterial cell membrane, including grooves, dents, membrane wrinkling, cell destruction, and leakage of cytoplasmic material. The results confirm that the proposed approach, which uses bioinformatic tools and rational modifications, is highly efficient and allows the discovery, with high accuracy, of potent AMPs encrypted in proteins.
Editor: Cham: Springer International Publishing
Idioma: Inglês

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Antimicrobial peptides designed by computational analysis of proteomes

Monsalve, Dahiana ; Mesa, Andrea ; Mira, Laura M. ; Mera, Carlos ; Orduz, Sergio ; Branch-Bedoya, John W.

Cham: Springer International Publishing

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