DSMBind is an unsupervised binding energy predictor trained with SE(3) denoising score matching. A single framework predicts binding energies for protein-ligand, protein-protein (including ΔΔG on SKEMPI mutations), and antibody-antigen complexes from all-atom structures, and ranks small-molecule libraries against a protein target by virtual screening.