Prediction of ligand binding sites using improved blind docking method with a Machine Learning-Based scoring function

•The blind docking method is applied to search the binding pockets on proteins.•An ANN-based scoring function is constructed to distinguish the true binding site.•Three sets of descriptors are selected for the ligand, receptor and interaction.•The binding sites of different ligands of the protein can be accurately predicted.