PhosHSGN: Deep Neural Networks Combining Sequence and Protein Spatial Information to Improve Protein Phosphorylation Site Prediction

PhosHSGN: Deep Neural Networks Combining Sequence and Protein Spatial Information to Improve Protein Phosphorylation Site Prediction

Phosphorylation site prediction is one of the key processes in protein post-transcriptional modification. It is an important research direction in the field of bioinformatics and is of great significance for understanding protein function and signal transduction. Since it is time-consuming and error...

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Bibliografiske detaljer
Main Authors: Jiale Lu, Haibin Chen, Ji Qiu
Format: Article
Sprog:English
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Post-translational modifications
deep learning
protein sequence analysis
graph neural network
phosphorylation
Online adgang:https://ieeexplore.ieee.org/document/10597561/

Internet

https://ieeexplore.ieee.org/document/10597561/

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