Developing machine learning-driven QSAR models for predicting bitter activity and bitterness thresholds of oligopeptides
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To improve bitter peptide (BP) prediction, two complementary computational models were developed. The XGBoost-BP classifier achieved strong performance in identifying bitter activity (AUC = 0.992 in cross-validation and 0.930 in the test set) and revealed key ... ...
