Protein Language Model-Conditioned Graph Neural Networks for Multitask GPCR Ligand Activity Prediction
Predicting ligand activity across G protein-coupled receptors (GPCRs) requires models that capture both molecular structure and receptor-specific information while remaining robust to chemical and target-domain shifts. We developed a multimodal graph neural network that combines explicit ligand molecular graphs with fr...