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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

Performing geometric operations


We will now perform computations with geometry information, including computing the center of mass of chains and of whole models.

Getting ready

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

How to do it...

Take a look at the following steps:

  1. First, let's retrieve the data:

    from __future__ import print_function
    import numpy as np
    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, remember the type of residues that we have with the following code:

    my_residues = set()
    for residue in p53_1tup.get_residues():
        my_residues.add(residue.id[0])
    print(my_residues)
    • So, we have H_ ZN (zinc) and W (water) that are HETATMs and the vast majority that are standard PDB ATOMs.

  3. Let's compute the masses for all chains, zincs and waters using the following code:

    def get_mass(atoms, accept_fun=lambda atom: atom.parent.id[0] != 'W'):
        return...
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