C. Ssemakalu

An interpretable consensus pipeline for candidate dopamine D2 receptor ligands

Machine learning accelerates GPCR ligand discovery but often lacks interpretability and struggles to generalise to structurally novel chemical space. We present an integrated framework combining ensemble learning, SHAP interpretability, and complementary structure-based analyses to prioritise putative candidates for th...