Do Deep Learning Methods Really Perform Better in Binding Pose Generation?
#### infinite physical monkey for molecular conformation generationGenerate non-parameter molecules with
python inp_phy_mon_MCG.pyThe dataset could be downloaded here. Or prepare from GEOM dataset locally, details could be found at ConfGF. If download the training data is inconvenient for you, please use the prepared statistical information.
Download the PDBBind Core dataset first, and unzip it as 'core'
Generate rdkit mols first
python rdkit_mols.pyAlign the rdkit molecules to the center of the pocket and perform random rotation on them. Then use Vina to assess the binding energy between infinite physical monkey conformations between pockets and ligands.
python scoring_random.pyFinally, perform the force field optimization for the molecules inside rigid pockets.
python uff_opt.py
