2 datasets found

Deep generative models have emerged as a powerful tool for learning useful molecular representations and designing novel molecules with desired properties, with applications in...

The dataset used in this study consists of 1.6M chemical molecules from the MOSES benchmarking dataset, 211k ligand molecules from the BindingDB database, and 12 in vitro...