Emerging Computational Approaches for Antimicrobial Peptide Discovery

In the last two decades many reports have addressed the application of artificial intelligence (AI) in the search and design of antimicrobial peptides (AMPs). AI has been represented by machine learning (ML) algorithms that use sequence-based features for the discovery of new peptidic scaffolds with...

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Detalles Bibliográficos
Autores principales: Agüero-Chapin, Guillermin, Galpert-Cañizares, Deborah, Domínguez-Pérez, Dany, Marrero-Ponce, Yovani, Pérez-Machado, Gisselle, Teijeira, Marta, Antunes, Agostinho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311958/
https://www.ncbi.nlm.nih.gov/pubmed/35884190
http://dx.doi.org/10.3390/antibiotics11070936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311958/
https://www.ncbi.nlm.nih.gov/pubmed/35884190
http://dx.doi.org/10.3390/antibiotics11070936

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