iProtDNA-SMOTE: Enhancing protein-DNA binding sites prediction through imbalanced graph neural networks.
Protein-DNA interactions play a crucial role in cellular biology, essential for maintaining life processes and regulating cellular functions. We propose a method called iProtDNA-SMOTE, which utilizes non-equilibrium graph neural networks along with pre-trained protein language models to predict DNA...
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| Main Authors: | Ruiyan Huang, Wangren Qiu, Xuan Xiao, Weizhong Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0320817 |
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