Geometric deep learning as a potential tool for antimicrobial peptide prediction

Antimicrobial peptides (AMPs) are components of natural immunity against invading pathogens. They are polymers that fold into a variety of three-dimensional structures, enabling their function, with an underlying sequence that is best represented in a non-flat space. The structural data of AMPs exhi...

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Detalles Bibliográficos
Autores principales: Fernandes, Fabiano C., Cardoso, Marlon H., Gil-Ley, Abel, Luchi, Lívia V., da Silva, Maria G. L., Macedo, Maria L. R., de la Fuente-Nunez, Cesar, Franco, Octavio L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374423/
https://www.ncbi.nlm.nih.gov/pubmed/37521317
http://dx.doi.org/10.3389/fbinf.2023.1216362

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374423/
https://www.ncbi.nlm.nih.gov/pubmed/37521317
http://dx.doi.org/10.3389/fbinf.2023.1216362

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