ResSUMO: A Deep Learning Architecture Based on Residual Structure for Prediction of Lysine SUMOylation Sites

Lysine SUMOylation plays an essential role in various biological functions. Several approaches integrating various algorithms have been developed for predicting SUMOylation sites based on a limited dataset. Recently, the number of identified SUMOylation sites has significantly increased due to inves...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yafei, Liu, Yuhai, Chen, Yu, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454673/
https://www.ncbi.nlm.nih.gov/pubmed/36078053
http://dx.doi.org/10.3390/cells11172646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454673/
https://www.ncbi.nlm.nih.gov/pubmed/36078053
http://dx.doi.org/10.3390/cells11172646

Ejemplares similares