Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

Antimicrobial peptides emerge as compounds that can alleviate the global health hazard of antimicrobial resistance, prompting a need for novel computational approaches to peptide generation. Here, we propose HydrAMP, a conditional variational autoencoder that learns lower-dimensional, continuous rep...

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Detalles Bibliográficos
Autores principales: Szymczak, Paulina, Możejko, Marcin, Grzegorzek, Tomasz, Jurczak, Radosław, Bauer, Marta, Neubauer, Damian, Sikora, Karol, Michalski, Michał, Sroka, Jacek, Setny, Piotr, Kamysz, Wojciech, Szczurek, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017685/
https://www.ncbi.nlm.nih.gov/pubmed/36922490
http://dx.doi.org/10.1038/s41467-023-36994-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017685/
https://www.ncbi.nlm.nih.gov/pubmed/36922490
http://dx.doi.org/10.1038/s41467-023-36994-z

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