examples/fceri_ji/submodels/SykKinase.py
from ..templates.graphs import *
from ..templates.rules import *
from wc_rules.modeling.pattern import Pattern
from wc_rules.modeling.model import AggregateModel
def build_model(aloop=False):
state = {True:'phosphorylated',False:'unphosphorylated'}
return TransPhosphorylationModel(
name = f'aloop_{state[aloop]}',
reactant = Pattern(gSykOnSyk, constraints = [f'aloop_left.ph == {aloop}', f'aloop_right.ph == False']),
target = 'aloop_right',
)
model = AggregateModel(
name = 'syk_kinase',
models = [
build_model(aloop=False),
build_model(aloop=True)
]
)
data = {
'aloop_unphosphorylated': {'phosphorylation_rate': 100},
'aloop_phosphorylated': {'phosphorylation_rate': 200},
}
model.verify(data)
model.defaults = data