#!/usr/bin/env python
# coding: utf-8

# # Import models

# ## Import models from files

# The function :class:`~cameo.io.load_model` accepts a number of different input formats.
# 
# 1. [SBML](http://sbml.org/) (Systems Biology Markup Language).
# 2. JSON
# 3. Pickle (pickled models)
# 4. Model identifiers (from the [BiGG Models](http://bigg.ucsd.edu))

# In[1]:


less data/e_coli_core.xml


# In[2]:


from cameo import load_model
model = load_model('data/e_coli_core.xml')


# In[3]:


model


# ## Import models from the internet

# In the quick start [chapter](1-quick-start.ipynb) we demonstrated how to use :class:`~cameo.io.load_model` to import a model by ID. But where did the model come from? Cameo has currently access to two model repositories on the internet, http://bigg.ucsd.edu and http://darwin.di.uminho.pt/models. 

# In[4]:


from cameo import models


# In[5]:


models.index_models_bigg()


# In[6]:


models.index_models_minho()


# Models from [BiGG](http://bigg.ucsd.edu) and the [University of Minho](http://darwin.di.uminho.pt/models) can conveniently be accessd via :class:`~cameo.models.bigg` and :class:`~cameo.models.minho` respectively.

# In[7]:


models.bigg.iJN746


# In[8]:


models.minho.iMM904


# Models in the Minho database have been manually verified. The subset of models shown bellow can be used to run simulations as described in the publications.

# In[9]:


models.minho.validated.VvuMBEL943 # use TAB completion to see the other models


# In[ ]: