DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

Cancer is one of the most dangerous diseases to human health. The accurate prediction of anticancer peptides (ACPs) would be valuable for the development and design of novel anticancer agents. Current deep neural network models have obtained state-of-the-art prediction accuracy for the ACP classific...

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Detalles Bibliográficos
Autores principales: Yu, Lezheng, Jing, Runyu, Liu, Fengjuan, Luo, Jiesi, Li, Yizhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658571/
https://www.ncbi.nlm.nih.gov/pubmed/33230481
http://dx.doi.org/10.1016/j.omtn.2020.10.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658571/
https://www.ncbi.nlm.nih.gov/pubmed/33230481
http://dx.doi.org/10.1016/j.omtn.2020.10.005

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