Learning from the ligand: using ligand-based features to improve binding affinity prediction
Machine learning scoring functions for protein-ligand binding affinity prediction have been found to consistently outperform classical scoring functions. Structure-based scoring functions for universal affinity prediction typically use features describing interactions derived from the protein-ligand...
| Hlavní autoři: | , , |
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| Médium: | Journal article |
| Vydáno: |
2019
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Learning from the ligand: using ligand-based features to improve binding affinity prediction
Vydáno 2019
Journal article