Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists


	ROC curves of the optimal features combination, using the Random Forest Classifier over 10 data-split repetitions (AUC=0.98).

Part of: Giakoumopoulou S, Christodoulou P, Matsoukas M-T, Panagiotopoulos V, Cavouras D, Kritsi E (2025) Leveraging machine learning and molecular docking techniques to predict novel melanocortin-4 receptor agonists. Folia Medica 67(3): e150583. https://doi.org/10.3897/folmed.67.e150583