Explainable Machine Learning for Predicting Antibacterial Activity of Natural Products
Natural products are a valuable source of bioactive compounds with considerable potential for antibacterial drug discovery. However, experimental screening of large natural-product collections is often time-consuming and resource-intensive. In this study, an explainable machine-learning framework was developed to predi...