Pharmacophore-Aware Dual-View Learning With Bidirectional Cross-Attention for Drug-Drug Interaction Prediction
Accurate drug-drug interaction (DDI) prediction is critical for ensuring patient safety and guiding clinical decision-making. Existing methods often rely on single-view molecular representations, limiting their ability to capture the complex structural and spatial properties of drugs. In this study,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11091301/ |
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