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Retrieved on: 2024-05-09 13:39:26
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Summary
The article discusses machine learning methods applied to medicinal chemistry, focusing on evaluating performance metrics like MSE and CI in quantitative structure-activity relationship (QSAR) models, using datasets like BindingDB, cross-validation, and regression analysis for drug-target affinity (DTA) predictions.
Article found on: bmcgenomics.biomedcentral.com
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