Machine learning designs non-hemolytic antimicrobial peptides

Machine learning (ML) consists of the recognition of patterns from training data and offers the opportunity to exploit large structure–activity databases for drug design. In the area of peptide drugs, ML is mostly being tested to design antimicrobial peptides (AMPs), a class of biomolecules potentia...

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Detalles Bibliográficos
Autores principales: Capecchi, Alice, Cai, Xingguang, Personne, Hippolyte, Köhler, Thilo, van Delden, Christian, Reymond, Jean-Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285431/
https://www.ncbi.nlm.nih.gov/pubmed/34349895
http://dx.doi.org/10.1039/d1sc01713f

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285431/
https://www.ncbi.nlm.nih.gov/pubmed/34349895
http://dx.doi.org/10.1039/d1sc01713f

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