Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities

MOTIVATION: Antimicrobial peptides (AMPs) have the potential to inhibit multiple types of pathogens and to heal infections. Computational strategies can assist in characterizing novel AMPs from proteome or collections of synthetic sequences and discovering their functional abilities toward different...

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Detalles Bibliográficos
Autores principales: Pang, Yuxuan, Yao, Lantian, Xu, Jingyi, Wang, Zhuo, Lee, Tzong-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750108/
https://www.ncbi.nlm.nih.gov/pubmed/36326438
http://dx.doi.org/10.1093/bioinformatics/btac711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750108/
https://www.ncbi.nlm.nih.gov/pubmed/36326438
http://dx.doi.org/10.1093/bioinformatics/btac711

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