format

docs/src/examples/04-enzyme-models.jl

@@ -1,16 +1,14 @@
 # # Enzyme constrained models 
 
+using COBREXA
+
 # Here we will construct an enzyme constrained variant of the *E. coli* "core"
-# model. We will need the model, which we can download using
-# [`download_model`](@ref):
+# model. We will need the model, which we can download if it is not already present.
 
-using COBREXA
+import Downloads: download
 
-download_model(
-    "http://bigg.ucsd.edu/static/models/e_coli_core.json",
-    "e_coli_core.json",
-    "7bedec10576cfe935b19218dc881f3fb14f890a1871448fc19a9b4ee15b448d8",
-)
+!isfile("e_coli_core.json") &&
+    download("http://bigg.ucsd.edu/static/models/e_coli_core.json", "e_coli_core.json")
 
 # Additionally to COBREXA and the model format package, we will need a solver
 # -- let's use Tulip here:
@@ -20,14 +18,10 @@ import Tulip
 
 model = load_model("e_coli_core.json")
 
-import JSONFBCModels as M
-import AbstractFBCModels as A
-import COBREXA as X
-import ConstraintTrees as C
-import JuMP as J
-import Gurobi as G
+# Enzyme constrained models require parameters not usually used by conventional 
+# constraint based models. These include reaction specific turnover numbers
 
-model = A.load(M.JSONFBCModel, "e_coli_core.json")
+import AbstractFBCModels as A
 
 reaction_isozymes = Dict{String,Dict{String,X.Isozyme}}()
 for rid in A.reactions(model)