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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...
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| Pubblicato in: | Molecules |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6272292/ https://ncbi.nlm.nih.gov/pubmed/26076113 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/molecules200610947 |
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