Book Image

Bioinformatics with Python Cookbook

By : Tiago R Antao, Tiago Antao
Book Image

Bioinformatics with Python Cookbook

By: Tiago R Antao, Tiago Antao

Overview of this book

Table of Contents (16 chapters)
Bioinformatics with Python Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Extracting more information from a PDB file


Here, we will continue our exploration of the record structure produced by Bio.PDB from PDB files.

Getting ready

For general information about the PDB models that we are using, refer to the previous recipe.

You can find this content in the 06_Prot/Stats.ipynb notebook.

How to do it...

Take a look at the following steps:

  1. First, let's retrieve 1TUP as follows:

    from __future__ import print_function
    from Bio import PDB
    repository = PDB.PDBList()
    parser = PDB.PDBParser()
    repository.retrieve_pdb_file('1TUP', pdir='.')
    p53_1tup = parser.get_structure('P 53', 'pdb1tup.ent')
  2. Then, extract some atom-related statistics:

    from collections import defaultdict
    atom_cnt = defaultdict(int)
    atom_chain = defaultdict(int)
    atom_res_types = defaultdict(int)
    
    for atom in p53_1tup.get_atoms():
        my_residue = atom.parent
        my_chain = my_residue.parent
        atom_chain[my_chain.id] += 1
        if my_residue.resname != 'HOH':
            atom_cnt[atom.element] += 1
        atom_res_types[my_residue...