Computational exploration of the global microbiome for antibiotic discovery

Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine learning-based approach to predict prokaryotic antimicrobial peptides (AMPs) by leveraging a vast dataset of 63,410 metagenomes and 87,920 microbial genomes. This led to the creation of AMPSphere,...

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Detalles Bibliográficos
Autores principales: Santos-Júnior, Célio Dias, Der Torossian Torres, Marcelo, Duan, Yiqian, del Río, Álvaro Rodríguez, Schmidt, Thomas S.B., Chong, Hui, Fullam, Anthony, Kuhn, Michael, Zhu, Chengkai, Houseman, Amy, Somborski, Jelena, Vines, Anna, Zhao, Xing-Ming, Bork, Peer, Huerta-Cepas, Jaime, de la Fuente-Nunez, Cesar, Coelho, Luis Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491242/
https://www.ncbi.nlm.nih.gov/pubmed/37693522
http://dx.doi.org/10.1101/2023.08.31.555663

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491242/
https://www.ncbi.nlm.nih.gov/pubmed/37693522
http://dx.doi.org/10.1101/2023.08.31.555663

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