question about model.optimize()

[amarsh26]

Hello,

I observe the following when I use iSB619 from the BiGG data base.

This code

isb_table=iSB619.optimize()

print(isb_table['DAPDC'])

provides the following output:
2.046751276255936

However, this code

isb_table=iSB619_model.slim_optimize()
print(isb_table['DAPDC'])

produces the following output.

---

TypeError Traceback (most recent call last)
Input In [66], in <cell line: 1>()
----> 1 print(isb_table['DAPDC'])

TypeError: 'float' object is not subscriptable

Further, both methods work for other BiGG models such as iML1515 and iJO1366. I was wondering the origin of the TypeError in the second case for iSB619.

Thank you!

[Midnighter]

Have a look at the documentation for the optimize and the slim_optimize methods. The former returns a solution object which supports accessing reaction fluxes in the way that you did. The latter only returns the objective value if it exists. You cannot perform the access on a float as you are trying in your second example, hence, the type error.

[amarsh26]

Thanks so much for your response.

I just wanted to follow up in why it would work for iJO1366 (0.9823718) and iML1515 (0.8769972) both of which are floats.

Thanks again!