%matplotlib inline
from ecell4.prelude import *
This model is described in the article:
ref = citation(1831270)
ref
from IPython.display import display, Markdown
display(Markdown("Abstract: {}".format(ref.abstract)))
with reaction_rules():
YT = Y + YP + M + pM
CT = C2 + CP + M + pM
~Y > Y | 0.015 / CT
Y > ~Y | 0.0 * Y
CP + Y > pM | 200.0 * CP * Y / CT
pM > M | pM * (0.018 + 180 * ((M / CT) ** 2))
M > pM | 0.0 * M
M > C2 + YP | 1.0 * M
YP > ~YP | 0.6 * YP
C2 > CP | 1000000.0 * C2
CP > C2 | 1000.0 * CP
m = get_model()
show(m)
run_simulation(100.0, model=m, y0={'CP': 0.75, 'pM': 0.25}).plot(legend=True)