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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782175117
Length 306 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Python and the Surrounding Software Ecology 2. Next-generation Sequencing FREE CHAPTER 3. Working with Genomes 4. Population Genetics 5. Population Genetics Simulation 6. Phylogenetics 7. Using the Protein Data Bank 8. Other Topics in Bioinformatics 9. Python for Big Genomics Datasets 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...
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