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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
|
| Online Access: | View Fulltext in Publisher |