TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture

Protein phosphorylation is one of the most critical post-translational modifications of proteins in eukaryotes, which is essential for a variety of biological processes. Plenty of attempts have been made to improve the performance of computational predictors for phosphorylation site prediction. Howe...

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Detalles Bibliográficos
Autores principales: Wang, Xun, Zhang, Zhiyuan, Zhang, Chaogang, Meng, Xiangyu, Shi, Xin, Qu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029334/
https://www.ncbi.nlm.nih.gov/pubmed/35457080
http://dx.doi.org/10.3390/ijms23084263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029334/
https://www.ncbi.nlm.nih.gov/pubmed/35457080
http://dx.doi.org/10.3390/ijms23084263

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