Paving the way for new antimicrobial peptides through molecular de-extinction
Molecular de-extinction has emerged as a novel strategy for studying biological molecules throughout evolutionary history. Among the myriad possibilities offered by ancient genomes and proteomes, antimicrobial peptides (AMPs) stand out as particularly promising alternatives to traditional antibiotic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Shared Science Publishers OG
2025-02-01
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| Series: | Microbial Cell |
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| Online Access: | http://microbialcell.com/researcharticles/2025a-osiro-microbial-cell |
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| author | Karen O Osiro Abel Gil-Ley Fabiano C Fernandes Kamila B S de Oliveira Cesar de la Fuente-Nunez Octavio L Franco |
| author_facet | Karen O Osiro Abel Gil-Ley Fabiano C Fernandes Kamila B S de Oliveira Cesar de la Fuente-Nunez Octavio L Franco |
| author_sort | Karen O Osiro |
| collection | DOAJ |
| description | Molecular de-extinction has emerged as a novel strategy for studying biological molecules throughout evolutionary history. Among the myriad possibilities offered by ancient genomes and proteomes, antimicrobial peptides (AMPs) stand out as particularly promising alternatives to traditional antibiotics. Various strategies, including software tools and advanced deep learning models, have been used to mine these host defense peptides. For example, computational analysis of disulfide bond patterns has led to the identification of six previously uncharacterized β-defensins in extinct and critically endangered species. Additionally, artificial intelligence and machine learning have been utilized to uncover ancient antibiotics, revealing numerous candidates, including mammuthusin, and elephasin, which display inhibitory effects toward pathogens in vitro and in vivo. These innovations promise to discover novel antibiotics and deepen our insight into evolutionary processes. |
| format | Article |
| id | doaj-art-8368d868c4b04f19962b5d07fdc9c88d |
| institution | DOAJ |
| issn | 2311-2638 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Shared Science Publishers OG |
| record_format | Article |
| series | Microbial Cell |
| spelling | doaj-art-8368d868c4b04f19962b5d07fdc9c88d2025-08-20T03:01:53ZengShared Science Publishers OGMicrobial Cell2311-26382025-02-01121810.15698/mic2025.02.841Paving the way for new antimicrobial peptides through molecular de-extinctionKaren O Osiro0Abel Gil-Ley1Fabiano C Fernandes2Kamila B S de Oliveira3Cesar de la Fuente-Nunez4Octavio L Franco5Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, 70790-160, BrazilS-Inova Biotech, Pós-graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul, BrazilCentro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, 70790-160, BrazilS-Inova Biotech, Pós-graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande, Mato Grosso do Sul, BrazilMachine 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, United States of AmericaCentro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, 70790-160, BrazilMolecular de-extinction has emerged as a novel strategy for studying biological molecules throughout evolutionary history. Among the myriad possibilities offered by ancient genomes and proteomes, antimicrobial peptides (AMPs) stand out as particularly promising alternatives to traditional antibiotics. Various strategies, including software tools and advanced deep learning models, have been used to mine these host defense peptides. For example, computational analysis of disulfide bond patterns has led to the identification of six previously uncharacterized β-defensins in extinct and critically endangered species. Additionally, artificial intelligence and machine learning have been utilized to uncover ancient antibiotics, revealing numerous candidates, including mammuthusin, and elephasin, which display inhibitory effects toward pathogens in vitro and in vivo. These innovations promise to discover novel antibiotics and deepen our insight into evolutionary processes.http://microbialcell.com/researcharticles/2025a-osiro-microbial-cellmolecular deextinctionampsencrypted peptidesdefensinsbioinformaticsmachine learningdeep learning |
| spellingShingle | Karen O Osiro Abel Gil-Ley Fabiano C Fernandes Kamila B S de Oliveira Cesar de la Fuente-Nunez Octavio L Franco Paving the way for new antimicrobial peptides through molecular de-extinction Microbial Cell molecular deextinction amps encrypted peptides defensins bioinformatics machine learning deep learning |
| title | Paving the way for new antimicrobial peptides through molecular de-extinction |
| title_full | Paving the way for new antimicrobial peptides through molecular de-extinction |
| title_fullStr | Paving the way for new antimicrobial peptides through molecular de-extinction |
| title_full_unstemmed | Paving the way for new antimicrobial peptides through molecular de-extinction |
| title_short | Paving the way for new antimicrobial peptides through molecular de-extinction |
| title_sort | paving the way for new antimicrobial peptides through molecular de extinction |
| topic | molecular deextinction amps encrypted peptides defensins bioinformatics machine learning deep learning |
| url | http://microbialcell.com/researcharticles/2025a-osiro-microbial-cell |
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