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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6272292/ https://www.ncbi.nlm.nih.gov/pubmed/26076113 http://dx.doi.org/10.3390/molecules200610947 |