15. Using the COBRA toolbox with cobrapy

This example demonstrates using COBRA toolbox commands in MATLAB from python through pymatbridge.

%load_ext pymatbridge
Starting MATLAB on ZMQ socket ipc:///tmp/pymatbridge-57ff5429-02d9-4e1a-8ed0-44e391fb0df7
Send 'exit' command to kill the server
....MATLAB started and connected!
import cobra.test
m = cobra.test.create_test_model("textbook")

The model_to_pymatbridge function will send the model to the workspace with the given variable name.

from cobra.io.mat import model_to_pymatbridge
model_to_pymatbridge(m, variable_name="model")

Now in the MATLAB workspace, the variable name ‘model’ holds a COBRA toolbox struct encoding the model.


model =

            rev: [95x1 double]
       metNames: {72x1 cell}
              b: [72x1 double]
      metCharge: [72x1 double]
              c: [95x1 double]
         csense: [72x1 char]
          genes: {137x1 cell}
    metFormulas: {72x1 cell}
           rxns: {95x1 cell}
        grRules: {95x1 cell}
       rxnNames: {95x1 cell}
    description: [11x1 char]
              S: [72x95 double]
             ub: [95x1 double]
             lb: [95x1 double]
           mets: {72x1 cell}
     subSystems: {95x1 cell}

First, we have to initialize the COBRA toolbox in MATLAB.

%%matlab --silent
warning('off'); % this works around a pymatbridge bug

Commands from the COBRA toolbox can now be run on the model


ans =

           x: [95x1 double]
           f: 0.8739
           y: [71x1 double]
           w: [95x1 double]
        stat: 1
    origStat: 5
      solver: 'glpk'
        time: 3.2911

FBA in the COBRA toolbox should give the same result as cobrapy (but maybe just a little bit slower :))

CPU times: user 0 ns, sys: 0 ns, total: 0 ns
Wall time: 5.48 µs