Take a look at the following steps:
- First, let's retrieve our models of interest, as follows:
from Bio import PDBrepository = PDB.PDBList()repository.retrieve_pdb_file('1TUP', pdir='.', file_format='pdb')repository.retrieve_pdb_file('1OLG', pdir='.', file_format='pdb')repository.retrieve_pdb_file('1YCQ', pdir='.', file_format='pdb')
Note that Bio.PDB will take care of downloading files for you. Moreover, these downloads will only occur if no local copy is already present.
- Let's parse our records, as shown in the following code:
parser = PDB.PDBParser()p53_1tup = parser.get_structure('P 53 - DNA Binding', 'pdb1tup.ent')p53_1olg = parser.get_structure('P 53 - Tetramerization', 'pdb1olg.ent')p53_1ycq = parser.get_structure('P ...
