First, ensure that you are in the correct environment, and then download the pdbbind reference database:
source activate deepchem
(deepchem) user@server:~/deepchem/examples/pdbbind$ ./get_pdbbind.sh
You will see a large number of directories created with PDB (protein) and SDF (ligand) files, for instance:
v2015/3d1g/3d1g_ligand.mol2
v2015/3d1g/3d1g_pocket.pdb
v2015/3d1g/3d1g_protein.pdb
v2015/3d1g/3d1g_ligand.sdf
Next, you can train the Random Forest-based classifier via:
(deepchem) ubuntu@ip-172-31-12-186:~/deepchem/examples/pdbbind$ python pdbbind_rf.py
TODO: Add notes about how to expand the v2015 dataset, e.g. to add protein 14HR as associated with NF2 to the analysis