MBP

MBP is a PyTorch implementation designed for multi-task bioassay pre-training aimed at predicting protein-ligand binding affinities. It utilizes the ChEMBL-Dock dataset, which contains extensive protein-ligand binding data, to train models that can predict binding affinities effectively.