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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |