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The Cobra for Python module provides methods for a simple-to-use, constraint-based modeling of metabolic networks. It provides additional functionality on top of the COBRA framework, in particular several COBRA methods, such as flux balance analysis and elementary mode analysis. You can install the latest Cobra for Python from the Sourceforge GForge site python setup.py install or pip install cobra Cobra for Python is written in Python using the CherryPy web server for fast execution and simple syntax. A word about documentation The above installation process provides a complete Cobra for Python distribution, including documentation files. Unfortunately, the documentation is not on par with what is available for the other Cobra components. Instead of downloading the library, you can get the documentation from the Zenodo repository and the GitHub repository. The documentation is installed along with the Cobra for Python library. To install the documentation: python setup.py install or pip install -r requirements.txt Once you have the documentation installed you can start the documentation using python setup.py doc. The documentation is generated from Pydoc’s Sphinx extension. Sphinx works with the book_example style, which is ideally suited to documentation of small examples. Example 1. Python main function A small Python script illustrates how the Cobra for Python package works. This example shows how to create an empty COBRA model, and import functions from the Cobra for Python package. import cobra as cobra import numpy as np The cobra for python package uses an iterative solution to find the maximum flux rate through a reaction or a whole network. The method is also used for predicting the flux variability. # Set an empty model vars = {} # Initialize the flux values for the model var_flux_nodes = [] # Initialize a dummy vars dictionary for the node of the model var_flux_nodes = [{‘name’: ‘n1’, ‘var_flux’: 1.0,’start’: 0.0, ‘end’: 1.0, ‘value’: 1.0}] cobra.set_model(name = ‘MyModel’, vars = var_flux_nodes) import cobra as cobra import numpy as np a = np.random.rand https://www.birmingham.ac.uk/research/perspective/born-henry-not-mary-life-would-be-different.aspx?result=successful#comment