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PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information

MOTIVATION: Phosphorylation is one of the most studied post-translational modifications, which plays a pivotal role in various cellular processes. Recently, deep learning methods have achieved great success in prediction of phosphorylation sites, but most of them are based on convolutional neural ne...

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Detalles Bibliográficos
Autores principales: Yang, Hangyuan, Wang, Minghui, Liu, Xia, Zhao, Xing-Ming, Li, Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665744/
https://www.ncbi.nlm.nih.gov/pubmed/34320631
http://dx.doi.org/10.1093/bioinformatics/btab551

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