Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest
Docking scoring functions can be used to predict the strength of protein-ligand binding. It is widely believed that training a scoring function with low-quality data is detrimental for its predictive performance. Nevertheless, there is a surprising lack of systematic validation experiments in suppor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-06-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1420-3049/20/6/10947 |