Interformer: an interaction-aware model for protein-ligand docking and affinity prediction
Abstract In recent years, the application of deep learning models to protein-ligand docking and affinity prediction, both vital for structure-based drug design, has garnered increasing interest. However, many of these models overlook the intricate modeling of interactions between ligand and protein...
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2024-11-01
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| Schriftenreihe: | Nature Communications |
| Online-Zugang: | https://doi.org/10.1038/s41467-024-54440-6 |
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