def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
tau = sigma * sigma / D_tot
kf = 100 * sigma * D_tot
koff = 0.1 / tau
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma / 2)
B = model.Species('B', D, sigma / 2)
C = model.Species('C', D, sigma / 2)
m.add_species_type(A)
m.add_species_type(B)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, koff)
m.network_rules.add_reaction_rule(r2)
w = gfrdbase.create_world(m, 3)
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = EGFRDSimulator(w, myrandom.rng, nrw)
place_particle(w, A, [0, 0, 0])
place_particle(w, B,
[(float(A['radius']) + float(B['radius'])) + 1e-23, 0, 0])
end_time = T
s.step()
while 1:
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
s.step()
if len(s.world.get_particle_ids(C.id)) != 0:
return 0, s.t
distance = w.distance(s.get_position(A.id), s.get_position(B.id))
return distance, s.t
def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
tau = sigma * sigma / D_tot
kf = 100 * sigma * D_tot
koff = 0.1 / tau
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma/2)
B = model.Species('B', D, sigma/2)
C = model.Species('C', D, sigma/2)
m.add_species_type(A)
m.add_species_type(B)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, koff)
m.network_rules.add_reaction_rule(r2)
w = gfrdbase.create_world(m, 3)
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = _gfrd._EGFRDSimulator(w, nrw, myrandom.rng)
place_particle(w, A, [0,0,0])
place_particle(w, B,
[(float(A['radius']) + float(B['radius']))+1e-23,
0,0])
end_time = T
while s.step(end_time):
pass
if len(s.world.get_particle_ids(C.id)) != 0:
return 0, s.t
pid1 = list(s.world.get_particle_ids(A.id))[0]
pid2 = list(s.world.get_particle_ids(B.id))[0]
p1 = s.world.get_particle(pid1)[1]
p2 = s.world.get_particle(pid2)[1]
distance = w.distance(p1.position, p2.position)
return distance, s.t
def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
kf = 100 * sigma * D_tot
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma / 2)
m.add_species_type(A)
B = model.Species('B', D, sigma / 2)
m.add_species_type(B)
C = model.Species('C', D, sigma / 2)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
w = gfrdbase.create_world(m, 3)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = _gfrd._EGFRDSimulator(w, nrw, myrandom.rng)
class check_reactions:
def __init__(self):
self.reactions = []
def __call__(self, ri):
self.reactions.append(ri)
cr = check_reactions()
s.reaction_recorder = cr
pid1 = gfrdbase.place_particle(w, A, [0, 0, 0])[0]
pid2 = gfrdbase.place_particle(
w, B, [float(A['radius']) + float(B['radius']) + 1e-23, 0, 0])[0]
end_time = T
while s.step(end_time):
if len(cr.reactions) != 0:
cr.reactions = []
return 0, s.t
p1 = s.world.get_particle(pid1)[1]
p2 = s.world.get_particle(pid2)[1]
distance = w.distance(p1.position, p2.position)
return distance, s.t
def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
tau = sigma * sigma / D_tot
kf = 100 * sigma * D_tot
koff = 0.1 / tau
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma/2)
B = model.Species('B', D, sigma/2)
C = model.Species('C', D, sigma/2)
m.add_species_type(A)
m.add_species_type(B)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, koff)
m.network_rules.add_reaction_rule(r2)
w = gfrdbase.create_world(m, 3)
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = EGFRDSimulator(w, myrandom.rng, nrw)
place_particle(w, A, [0,0,0])
place_particle(w, B, [(float(A['radius']) + float(B['radius']))+1e-23,0,0])
end_time = T
s.step()
while 1:
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
s.step()
if len(s.world.get_particle_ids(C.id)) != 0:
return 0, s.t
distance = w.distance(s.get_position(A.id), s.get_position(B.id))
return distance, s.t
def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
kf = 100 * sigma * D_tot
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma/2)
m.add_species_type(A)
B = model.Species('B', D, sigma/2)
m.add_species_type(B)
C = model.Species('C', D, sigma/2)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
w = gfrdbase.create_world(m, 3)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = _gfrd._EGFRDSimulator(w, nrw, myrandom.rng)
class check_reactions:
def __init__(self):
self.reactions = []
def __call__(self, ri):
self.reactions.append(ri)
cr = check_reactions()
s.reaction_recorder = cr
pid1 = gfrdbase.place_particle(w, A, [0,0,0])[0]
pid2 = gfrdbase.place_particle(w, B, [float(A['radius']) +
float(B['radius'])+1e-23,0,0])[0]
end_time = T
while s.step(end_time):
if len(cr.reactions) != 0:
cr.reactions = []
return 0, s.t
p1 = s.world.get_particle(pid1)[1]
p2 = s.world.get_particle(pid2)[1]
distance = w.distance(p1.position, p2.position)
return distance, s.t
def singlerun(T):
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
tau = sigma * sigma / D_tot
kf = 100 * sigma * D_tot
koff = 0.1 / tau
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma / 2)
B = model.Species('B', D, sigma / 2)
C = model.Species('C', D, sigma / 2)
m.add_species_type(A)
m.add_species_type(B)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, koff)
m.network_rules.add_reaction_rule(r2)
w = gfrdbase.create_world(m, 3)
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = _gfrd._EGFRDSimulator(w, nrw, myrandom.rng)
place_particle(w, A, [0, 0, 0])
place_particle(w, B,
[(float(A['radius']) + float(B['radius'])) + 1e-23, 0, 0])
end_time = T
while s.step(end_time):
pass
if len(s.world.get_particle_ids(C.id)) != 0:
return 0, s.t
pid1 = list(s.world.get_particle_ids(A.id))[0]
pid2 = list(s.world.get_particle_ids(B.id))[0]
p1 = s.world.get_particle(pid1)[1]
p2 = s.world.get_particle(pid2)[1]
distance = w.distance(p1.position, p2.position)
return distance, s.t
def add_reactions(self):
A = self.A
B = self.B
C = self.C
r = model.create_unimolecular_reaction_rule(A, B, self.kf_1)
self.m.network_rules.add_reaction_rule(r)
r = model.create_unimolecular_reaction_rule(B, A, self.kb_1)
self.m.network_rules.add_reaction_rule(r)
r = model.create_binding_reaction_rule(A, B, C, self.kf_2)
self.m.network_rules.add_reaction_rule(r)
r = model.create_unbinding_reaction_rule(C, A, B, self.kb_2)
self.m.network_rules.add_reaction_rule(r)
r = model.create_decay_reaction_rule(C, self.kb_1)
self.m.network_rules.add_reaction_rule(r)
def singlerun2(T):
#s.set_user_max_shell_size(1e-7)
#s.set_user_max_shell_size(1e-3)
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
kf = 100 * sigma * D_tot
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma / 2)
m.add_species_type(A)
B = model.Species('B', D, sigma / 2)
m.add_species_type(B)
C = model.Species('C', D, sigma / 2)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
w = gfrdbase.create_world(m, 3)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = EGFRDSimulator(w, myrandom.rng, nrw)
particleA = gfrdbase.place_particle(w, A, [0, 0, 0])
particleB = gfrdbase.place_particle(
w, B, [float(A['radius']) + float(B['radius']) + 1e-23, 0, 0])
end_time = T
while 1:
s.step()
if s.last_reaction:
#print 'reaction'
return 0.0, s.t
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
distance = w.distance(s.get_position(particleA), s.get_position(particleB))
return distance, s.t
def singlerun2(T):
#s.set_user_max_shell_size(1e-7)
#s.set_user_max_shell_size(1e-3)
sigma = 5e-9
r0 = sigma
D = 1e-12
D_tot = D * 2
kf = 100 * sigma * D_tot
m = model.ParticleModel(1e-3)
A = model.Species('A', D, sigma/2)
m.add_species_type(A)
B = model.Species('B', D, sigma/2)
m.add_species_type(B)
C = model.Species('C', D, sigma/2)
m.add_species_type(C)
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
w = gfrdbase.create_world(m, 3)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = EGFRDSimulator(w, myrandom.rng, nrw)
particleA = gfrdbase.place_particle(w, A, [0,0,0])
particleB = gfrdbase.place_particle(w, B, [float(A['radius']) + float(B['radius'])+1e-23,0,0])
end_time = T
while 1:
s.step()
if s.last_reaction:
#print 'reaction'
return 0.0, s.t
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
distance = w.distance(s.get_position(particleA), s.get_position(particleB))
return distance, s.t
nE = 91
nS = 909
# matrix_size = 3 # min matrix size
matrix_size = max(3, int(min(numpy.power(nE+nS, 1.0 / 3.0), L / (2 * R))))
m = model.ParticleModel(L)
E = model.Species('E', D, R)
S = model.Species('S', D, R)
ES = model.Species('ES', D, R)
P = model.Species('P', D, R)
m.add_species_type(E)
m.add_species_type(S)
m.add_species_type(ES)
m.add_species_type(P)
fwd = model.create_binding_reaction_rule(E, S, ES, 0.01e-18)
back = model.create_unbinding_reaction_rule(ES, E, S, 0.1)
prod = model.create_unbinding_reaction_rule(ES, E, P, 0.1)
m.network_rules.add_reaction_rule(fwd)
m.network_rules.add_reaction_rule(back)
m.network_rules.add_reaction_rule(prod)
m.set_all_repulsive()
w = gfrdbase.create_world(m, matrix_size)
gfrdbase.throw_in_particles(w, E, nE)
gfrdbase.throw_in_particles(w, S, nS)
nrw = gfrdbase.create_network_rules_wrapper(m)
sim = _gfrd._EGFRDSimulator(w, nrw, myrandom.rng)
start = time.time()
# Constants
# ===============================
sigma = 1e-4 # Diameter particle; more realistic would be e-9
D = 1e-12 # Diffusion constant
N = 1000 # Number of steps simulation will last
world_size = 1e-3 # Lengths of simulation box
# Basic set up simulator
# ===============================
# Model
m = model.ParticleModel(world_size)
# Species
X = model.Species('X', D, sigma / 2)
m.add_species_type(X)
# Reaction rules
r1 = model.create_binding_reaction_rule(A, B, X, k)
m.network_rules.add_reaction_rule(r1)
# World
w = gfrdbase.create_world(m, 3)
# Simulator
s = EGFRDSimulator(w, myrandom.rng)
# Throw in particles
throw_in_particles(w, X, numberToThrowIn)
place_particle(w, X, [0, 0, 0])
# Running 1
# ===============================
while (s.get_next_time() < end_time):
s.step()
def single_run(N, LOGGING):
""" Single run of simulation """
global w, A, C, k1, k2
# Basic set up simulator
# ===============================
# Model
m = model.ParticleModel(world_size)
# Species
A = model.Species('A', 0, sigma/2)
m.add_species_type(A)
B = model.Species('B', D, sigma/2)
m.add_species_type(B)
C = model.Species('C', 0, sigma/2)
m.add_species_type(C)
# Reaction rules
r1 = model.create_binding_reaction_rule(A, B, C, k1)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, k2)
m.network_rules.add_reaction_rule(r2)
# World
w = gfrdbase.create_world(m, 3)
# Simulator
s = EGFRDSimulator(w, myrandom.rng)
# Put in cluster
make_cluster(N, world_size/2, world_size/2, world_size/2)
# Put in reactants
# place_particle(w, B, [world_size/2, world_size/2, world_size/2+sigma+spacing])
# Enable VTK Logger
# ===============================
if (LOGGING == True):
vtk_output_directory = 'VTK_out'
if (os.path.exists(vtk_output_directory)):
print '** Warning: VTK directory already exists.'
l = vtklogger.VTKLogger(s, vtk_output_directory, extra_particle_step=True)
# Running
# ===============================
numberDetected = 0
if (LOGGING == True):
while 1:
l.log() # log
s.step() # and make eGFRD step
if s.last_reaction:
numberDetected = numberDetected+1
if (numberDetected == 2):
# print "2nd Reaction detected at: " + str(s.t) + "(" + str(s.last_reaction) + ")"
reaction_time = s.t - previous_time
break
else: previous_time = s.t
l.stop()
else:
while 1:
s.step() # make eGFRD step
if s.last_reaction:
numberDetected = numberDetected+1
if (numberDetected == 2):
# print "2nd Reaction detected at: " + str(s.t) + "(" + str(s.last_reaction) + ")"
reaction_time = s.t - previous_time
break
else: previous_time = s.t
s.stop(s.t)
return (reaction_time)
import model
N = 300
L = 5e-6
#L = 2e-6
#L = 5e-8
#L = 3e-7
# Creating a model with species S and P that can reversibly bind
m = model.ParticleModel(L)
S = model.Species('S', 1.5e-12, 5e-9)
P = model.Species('P', 1e-12, 7e-9)
m.add_species_type(S)
m.add_species_type(P)
r1 = model.create_binding_reaction_rule(S, S, P, 1e7 / N_A)
r2 = model.create_unbinding_reaction_rule(P, S, S, 1e3)
m.network_rules.add_reaction_rule(r1)
m.network_rules.add_reaction_rule(r2)
m.set_all_repulsive()
# Set up simulator
world = create_world(m, int((N * 6)**(1. / 3.)))
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = EGFRDSimulator(world, myrandom.rng, nrw)
#s = BDSimulator(world. myrandom.rng, nrw)
# Throw in particles
throw_in_particles(s.world, S, N / 2)
throw_in_particles(s.world, P, N / 2)
T = model.Species('T', 1e-12, 1e-8)
M = model.Species('M', 1e-12, 1e-8)
Mribo = model.Species('Mribo', 1e-12, 1e-8)
m.add_species_type(O)
m.add_species_type(R)
m.add_species_type(P)
m.add_species_type(OR)
m.add_species_type(ORp)
m.add_species_type(ORpa)
m.add_species_type(T)
m.add_species_type(M)
m.add_species_type(Mribo)
# Reaction rules
r1 = model.create_binding_reaction_rule(O, R, OR, k_fR)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(OR, O, R, k_bR)
m.network_rules.add_reaction_rule(r2)
r3 = model.create_unimolecular_reaction_rule(O, ORp, k_f_rp)
m.network_rules.add_reaction_rule(r3)
r4 = model.create_unimolecular_reaction_rule(ORp, O, k_b_rp)
m.network_rules.add_reaction_rule(r4)
r5 = model.create_unimolecular_reaction_rule(ORp, ORpa, k_OC)
m.network_rules.add_reaction_rule(r5)
r6 = model.create_unbinding_reaction_rule(ORpa, T, O, 1/t_clear)
m.network_rules.add_reaction_rule(r6)
r7 = model.create_decay_reaction_rule(M, k_dm)
m.network_rules.add_reaction_rule(r7)
r8 = model.create_unbinding_reaction_rule(M, M, Mribo, k_ribo)
m.network_rules.add_reaction_rule(r8)
def singlerun(T_list, N_B, N_X):
"""
Function that performs one simulation run of binding/
rebinding.
Arguments:
- T_list: List of times at which distance between
particles is evaluated and logged.
- N_B: Number of instances ("molecules") of
particle B.
- N_X: Number of instances ("molecules") of
particle X.
"""
################# Define the model:
# Create model class
m = model.ParticleModel(L)
# Particle species classes
A = model.Species('A', D, radius)
m.add_species_type(A)
B = model.Species('B', D, radius)
m.add_species_type(B)
C = model.Species('C', D, radius)
m.add_species_type(C)
X = model.Species('X', DX, radius)
m.add_species_type(X)
# Reaction rules
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, 1e3)
m.network_rules.add_reaction_rule(r2)
################# Set up simulator
w = gfrdbase.create_world(m, matrix_size)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = EGFRDSimulator(w, myrandom.rng, nrw)
################# Place particles
# Throw in some X particles and stirr
if N_X != 0:
gfrdbase.throw_in_particles(w, X, N_X)
end_time = tau * 1
while 1:
s.step()
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
# Reset simulation, so stirring has no effect on output data
s.reset()
# Define positions for particles to place.
A_pos = [0, 0, 0]
B_pos = [(float(A['radius']) + float(B['radius'])) + 1e-23, 0, 0]
# Clear an area at position A_pos and place particle A there
#
# How this should be done:
# - find particles at position A_pos within species A radius
# - delete those
# - add a number of X particles _randomly to the box_, the
# number being equal to # removed particles.
# - if a particle is accidently placed within the "cleared"
# area, repeat the process (in very crowded box, this
# leads to infinite loop)
#
# Currently, however, it doesn't get the particles within a certain radius,
# but the particles which domain lies within a certain radius.
#
# Therefore, you might be removing particles that after bursting are not
# within the radius anymore, but whose (now bursted) domains were.
#
# TODO
# This code should thus be adapted to solve this problem.
#
# Perhaps it would be more easy to just place all the particles at
# the beginning, but give A and B initially a diffusion constant of
# 0, then stirr, and then set the diffusion constant to their
# desired values.."""
while 1:
# Burst domains within a certain volume and collect their ids
dd = s.clear_volume(A_pos, float(A['radius']))
if not dd:
break
for d in dd:
for p in d.particle_id_pair:
s.remove_particle(p)
s.throw_in_particles(X, len(pp), box1)
place_particle(w, A, A_pos)
# Idem for a particle B:
while 1:
# Burst domains within a certain volume and collect their ids
dd = s.clear_volume(B_pos, float(B['radius']))
if not dd:
break
for d in dd:
for p in d.particle_id_pair:
s.remove_particle(p)
s.throw_in_particles(X, len(pp), box1)
place_particle(w, B, B_pos)
# Place rest of B at random positions
if N_B > 1:
gfrdbase.throw_in_particles(w, B, N_B - 1)
# Create some vars and perform first simulation step
r_list = []
t_list = []
t_last = 0
s.step()
next_stop = T_list[0]
i_T = 0
# ### Start simulating
while 1:
# What happens in the following if-statement:
# Create a list of the durations particles were in bound state.
#
# If there was a reaction:
# - Binding: Indicated by the fact that there are no C-particles.
# In this case: record the current time (s.t) to t_last.
# - Unbinding: Indicated because this is the only other case when
# a reaction has taken place.
# In this case: record the time binding lasted, i.e. dt between
# current time (s.t) and last reaction time (t_last).
if s.last_reaction: # aka if there was a reaction
if len(s.world.get_particle_ids(C.id)) == 0: #A,B
print ' - set t_last', str(s.t)
# set t_last to "current time" in simulator
t_last = s.t
else:
print ' - reaction: ', str(s.t - t_last)
t_list.append(s.t - t_last)
# If it's time to log, then log distance between particles.
next_time = s.get_next_time()
if next_time > next_stop:
print '* Measuring distances at ', str(next_stop),\
'(measurement #', str(i_T), ')'
s.stop(next_stop)
print '* stopped'
# If there is a particle C, the distance is "0".
if len(s.world.get_particle_ids(C.id)) != 0: #A,B
r_list.append(0)
# If particles are manifested as A and B, log distance
# inbetween.
else: # C = 0, i.e. there are particles A and B
# Calculate distances:
A_pos = s.get_position(A.id)
distance_list = []
# If there are >1 B particles, we want to log all
# distances seperately, hence the loop:
for particle_id in w.get_particle_ids(B.id):
B_pos = s.get_position(particle_id)
distance = w.distance(A_pos, B_pos)
distance_list.append(distance)
# Write list to distances table
r_list.append(distance_list)
i_T += 1
next_stop = T_list[i_T]
# If there are no measuring moments on the list any more, and
# a duration of being bounded has been recorded, then stop
if (next_stop == INF) and (len(t_list) != 0):
print 'break', s.t
break
s.step()
return r_list, t_list
while 1:
s.step()
next_time = s.get_next_time()
if next_time > stir_time:
s.stop(stir_time)
break
s.reset()
# 1 2 S + K <-> KS
# 3 KS -> K + Sp
# 4 5 Sp + P <-> PSp
# 6 PSp -> P + S
# Create reaction rules (can this be done after rest is already performed?) TODO
r1 = model.create_binding_reaction_rule(S, K, KS, ka)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(KS, S, K, kd1)
m.network_rules.add_reaction_rule(r2)
r3 = model.create_unbinding_reaction_rule(KS, K, Sp, kcat1)
m.network_rules.add_reaction_rule(r3)
r4 = model.create_binding_reaction_rule(Sp, P, PSp, ka)
m.network_rules.add_reaction_rule(r4)
r5 = model.create_unbinding_reaction_rule(PSp, Sp, P, kd2)
m.network_rules.add_reaction_rule(r5)
r6 = model.create_unbinding_reaction_rule(PSp, P, S, kcat2)
m.network_rules.add_reaction_rule(r6)
model = 'pushpull'
# 'pushpull-Keq-koff_ratio-N_K-N_P-V-mode.dat'
def singlerun(T_list, N_B, N_X):
"""
Function that performs one simulation run of binding/
rebinding.
Arguments:
- T_list: List of times at which distance between
particles is evaluated and logged.
- N_B: Number of instances ("molecules") of
particle B.
- N_X: Number of instances ("molecules") of
particle X.
"""
################# Define the model:
# Create model class
m = model.ParticleModel(L)
# Particle species classes
A = model.Species('A', D, radius)
m.add_species_type(A)
B = model.Species('B', D, radius)
m.add_species_type(B)
C = model.Species('C', D, radius)
m.add_species_type(C)
X = model.Species('X', DX, radius)
m.add_species_type(X)
# Reaction rules
r1 = model.create_binding_reaction_rule(A, B, C, kf)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(C, A, B, 1e3)
m.network_rules.add_reaction_rule(r2)
################# Set up simulator
w = gfrdbase.create_world(m, matrix_size)
nrw = gfrdbase.create_network_rules_wrapper(m)
s = EGFRDSimulator(w, myrandom.rng, nrw)
################# Place particles
# Throw in some X particles and stirr
if N_X != 0:
gfrdbase.throw_in_particles(w, X, N_X)
end_time = tau * 1
while 1:
s.step()
next_time = s.get_next_time()
if next_time > end_time:
s.stop(end_time)
break
# Reset simulation, so stirring has no effect on output data
s.reset()
# Define positions for particles to place.
A_pos = [0,0,0]
B_pos = [(float(A['radius']) + float(B['radius']))+1e-23,0,0]
# Clear an area at position A_pos and place particle A there
#
# How this should be done:
# - find particles at position A_pos within species A radius
# - delete those
# - add a number of X particles _randomly to the box_, the
# number being equal to # removed particles.
# - if a particle is accidently placed within the "cleared"
# area, repeat the process (in very crowded box, this
# leads to infinite loop)
#
# Currently, however, it doesn't get the particles within a certain radius,
# but the particles which domain lies within a certain radius.
#
# Therefore, you might be removing particles that after bursting are not
# within the radius anymore, but whose (now bursted) domains were.
#
# TODO
# This code should thus be adapted to solve this problem.
#
# Perhaps it would be more easy to just place all the particles at
# the beginning, but give A and B initially a diffusion constant of
# 0, then stirr, and then set the diffusion constant to their
# desired values.."""
while 1:
# Burst domains within a certain volume and collect their ids
dd = s.clear_volume(A_pos, float(A['radius']))
if not dd:
break
for d in dd:
for p in d.particle_id_pair:
s.remove_particle(p)
s.throw_in_particles(X, len(pp), box1)
place_particle(w, A, A_pos)
# Idem for a particle B:
while 1:
# Burst domains within a certain volume and collect their ids
dd = s.clear_volume(B_pos, float(B['radius']))
if not dd:
break
for d in dd:
for p in d.particle_id_pair:
s.remove_particle(p)
s.throw_in_particles(X, len(pp), box1)
place_particle(w, B, B_pos)
# Place rest of B at random positions
if N_B > 1:
gfrdbase.throw_in_particles(w, B, N_B-1)
# Create some vars and perform first simulation step
r_list = []
t_list = []
t_last = 0
s.step()
next_stop = T_list[0]
i_T = 0
# ### Start simulating
while 1:
# What happens in the following if-statement:
# Create a list of the durations particles were in bound state.
#
# If there was a reaction:
# - Binding: Indicated by the fact that there are no C-particles.
# In this case: record the current time (s.t) to t_last.
# - Unbinding: Indicated because this is the only other case when
# a reaction has taken place.
# In this case: record the time binding lasted, i.e. dt between
# current time (s.t) and last reaction time (t_last).
if s.last_reaction: # aka if there was a reaction
if len(s.world.get_particle_ids(C.id)) == 0: #A,B
print ' - set t_last', str(s.t)
# set t_last to "current time" in simulator
t_last = s.t
else:
print ' - reaction: ', str(s.t - t_last)
t_list.append(s.t - t_last)
# If it's time to log, then log distance between particles.
next_time = s.get_next_time()
if next_time > next_stop:
print '* Measuring distances at ', str(next_stop),\
'(measurement #', str(i_T), ')'
s.stop(next_stop)
print '* stopped'
# If there is a particle C, the distance is "0".
if len(s.world.get_particle_ids(C.id)) != 0: #A,B
r_list.append(0)
# If particles are manifested as A and B, log distance
# inbetween.
else: # C = 0, i.e. there are particles A and B
# Calculate distances:
A_pos = s.get_position(A.id)
distance_list = []
# If there are >1 B particles, we want to log all
# distances seperately, hence the loop:
for particle_id in w.get_particle_ids(B.id):
B_pos = s.get_position(particle_id)
distance = w.distance(A_pos, B_pos)
distance_list.append(distance)
# Write list to distances table
r_list.append(distance_list)
i_T += 1
next_stop = T_list[i_T]
# If there are no measuring moments on the list any more, and
# a duration of being bounded has been recorded, then stop
if (next_stop == INF) and (len(t_list) != 0):
print 'break', s.t
break
s.step()
return r_list, t_list
T = model.Species('T', 1e-12, 1e-8)
M = model.Species('M', 1e-12, 1e-8)
Mribo = model.Species('Mribo', 1e-12, 1e-8)
m.add_species_type(O)
m.add_species_type(R)
m.add_species_type(P)
m.add_species_type(OR)
m.add_species_type(ORp)
m.add_species_type(ORpa)
m.add_species_type(T)
m.add_species_type(M)
m.add_species_type(Mribo)
# Reaction rules
r1 = model.create_binding_reaction_rule(O, R, OR, k_fR)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(OR, O, R, k_bR)
m.network_rules.add_reaction_rule(r2)
r3 = model.create_unimolecular_reaction_rule(O, ORp, k_f_rp)
m.network_rules.add_reaction_rule(r3)
r4 = model.create_unimolecular_reaction_rule(ORp, O, k_b_rp)
m.network_rules.add_reaction_rule(r4)
r5 = model.create_unimolecular_reaction_rule(ORp, ORpa, k_OC)
m.network_rules.add_reaction_rule(r5)
r6 = model.create_unbinding_reaction_rule(ORpa, T, O, 1 / t_clear)
m.network_rules.add_reaction_rule(r6)
r7 = model.create_decay_reaction_rule(M, k_dm)
m.network_rules.add_reaction_rule(r7)
r8 = model.create_unbinding_reaction_rule(M, M, Mribo, k_ribo)
m.network_rules.add_reaction_rule(r8)
if next_time > stir_time:
s.stop(stir_time)
break
s.reset()
# 1 2 S + K <-> KS
# 3 KS -> K + Sp
# 4 5 Sp + P <-> PSp
# 6 PSp -> P + S
# Create reaction rules (can this be done after rest is already performed?) TODO
r1 = model.create_binding_reaction_rule(S, K, KS, ka)
m.network_rules.add_reaction_rule(r1)
r2 = model.create_unbinding_reaction_rule(KS, S, K, kd1)
m.network_rules.add_reaction_rule(r2)
r3 = model.create_unbinding_reaction_rule(KS, K, Sp, kcat1)
m.network_rules.add_reaction_rule(r3)
r4 = model.create_binding_reaction_rule(Sp, P, PSp, ka)
m.network_rules.add_reaction_rule(r4)
r5 = model.create_unbinding_reaction_rule(PSp, Sp, P, kd2)
m.network_rules.add_reaction_rule(r5)
r6 = model.create_unbinding_reaction_rule(PSp, P, S, kcat2)
m.network_rules.add_reaction_rule(r6)
model = 'pushpull'
N = 300
L = 5e-6
#L = 2e-6
#L = 5e-8
#L = 3e-7
# Creating a model with species S and P that can reversibly bind
m = model.ParticleModel(L)
S = model.Species('S', 1.5e-12, 5e-9)
P = model.Species('P', 1e-12, 7e-9)
m.add_species_type(S)
m.add_species_type(P)
r1 = model.create_binding_reaction_rule(S, S, P, 1e7 / N_A)
r2 = model.create_unbinding_reaction_rule(P, S, S, 1e3)
m.network_rules.add_reaction_rule(r1)
m.network_rules.add_reaction_rule(r2)
m.set_all_repulsive()
# Set up simulator
world = create_world(m, int((N * 6) ** (1. / 3.)))
nrw = _gfrd.NetworkRulesWrapper(m.network_rules)
s = EGFRDSimulator(world, myrandom.rng, nrw)
#s = BDSimulator(world. myrandom.rng, nrw)
# Throw in particles
throw_in_particles(s.world, S, N / 2)
throw_in_particles(s.world, P, N / 2)
# ===============================
sigma = 1e-4 # Diameter particle; more realistic would be e-9
D = 1e-12 # Diffusion constant
N = 1000 # Number of steps simulation will last
world_size = 1e-3 # Lengths of simulation box
# Basic set up simulator
# ===============================
# Model
m = model.ParticleModel(world_size)
# Species
X = model.Species("X", D, sigma / 2)
m.add_species_type(X)
# Reaction rules
r1 = model.create_binding_reaction_rule(A, B, X, k)
m.network_rules.add_reaction_rule(r1)
# World
w = gfrdbase.create_world(m, 3)
# Simulator
s = EGFRDSimulator(w, myrandom.rng)
# Throw in particles
throw_in_particles(w, X, numberToThrowIn)
place_particle(w, X, [0, 0, 0])
# Running 1
# ===============================
while s.get_next_time() < end_time:
s.step()
