def __init__(self):
super(MonoLJ, self).__init__()
lj_proto = mb.Particle(name='LJ', pos=[0, 0, 0])
pattern = mb.Grid3DPattern(5, 5, 5)
pattern.scale(5)
for pos in pattern:
lj_particle = mb.clone(lj_proto)
lj_particle.translate(pos)
self.add(lj_particle)
def __init__(self, n, density):
super(LJBox, self).__init__()
box_length = (n / density)**(1 / 3)
box = mb.Box(lengths=np.ones(3) * box_length)
print(
"Creating box ({:.4f} x {:.4f} x {:.4f}) containing {} particles at a "
"number density of {}.".format(*box.lengths, n, density))
particles_per_len = round(n**(1 / 3))
pattern = mb.Grid3DPattern(particles_per_len, particles_per_len,
particles_per_len)
pattern.scale(box_length)
for pos in pattern:
self.add(mb.Particle(name='_LJ', pos=pos - box.lengths / 2))
self.periodicity = box.lengths
def test_grid_3d(self):
pattern = mb.Grid3DPattern(10, 5, 2)
assert len(pattern) == 100
def solvate_bilayer(system=None,
n_x=8,
n_y=8,
n_solvent_per_lipid=5,
water_spacing=0.3,
res_index=0,
lipid_atom_dict=None,
atom_index=0):
""" Solvate the top and bottom parts of the bilayer, return water box
Parameters
---------
n_x : int
3D grid dimension
n_y : int
3D grid dimension
n_solvent_per_lipid : int
Number of water beads per lipid, another grid dimension
res_index : int
Starting residue index for leaflet construction and residue counting
lipid_atom_dict : OrderedDict()
Dictionary whose values are mb.Compounds()s and values are a list of atom indices of that compound
atom_index : int
Counter for indexing atoms for lipid_atom_dict
Returns
-------
solvated_system : mb.Compound()
System with water solvating the outside of the bilayer
water_box : mb.Box()
Box object that accounts fot water molecules
lipid_atom_dict : OrderedDict()
Dictionary whose values are mb.Compounds()s and values are a list of atom indices of that compound
atom_index : int
Counter for indexing atoms for lipid_atom_dict
"""
# Construct 3D grid of water
# Compute distances to translate such that water is either below or above bilayer
# Add to table of contents file for post processing
length = max(system.xyz[:, 0])
width = max(system.xyz[:, 1])
n_solvent_leaflet = n_x * n_y * n_solvent_per_lipid
n_water_x = int(np.floor(length / water_spacing))
n_water_y = int(np.floor(width / water_spacing))
n_water_z = int(np.ceil(n_solvent_leaflet / (n_water_x * n_water_y)))
height = n_water_z * water_spacing
residues.add(HOH().name)
#cube = mb.Grid3DPattern(n_x, n_y, n_solvent_per_lipid)
#cube.scale( [ water_spacing * n_x, water_spacing * n_y, water_spacing * n_solvent_per_lipid])
cube = mb.Grid3DPattern(n_water_x, n_water_y, n_water_z)
cube.scale([length, width, height])
bot_water_list = cube.apply(HOH())
bot_water_list = bot_water_list[:n_solvent_leaflet]
bot_water = mb.Compound()
for compound in bot_water_list:
bot_water.add(compound)
highest_botwater = max(bot_water.xyz[:, 2])
lowest_botlipid = min(system.xyz[:, 2])
#shift_botwater = abs(highest_botwater - lowest_botlipid) + 0.3
shift_botwater = abs(highest_botwater - lowest_botlipid) + 0.1
bot_water.translate([0, 0, -1 * shift_botwater])
# Construct 3D grid of water
# Compute distances to translate such that water is either below or above bilayer
# Add to table of contents file for post processing
# cube = mb.Grid3DPattern(n_x, n_y, n_solvent_per_lipid)
# cube.scale( [ water_spacing * n_x, water_spacing * n_y, water_spacing * n_solvent_per_lipid])
cube = mb.Grid3DPattern(n_water_x, n_water_y, n_water_z)
cube.scale([length, width, height])
top_water_list = cube.apply(HOH())
top_water_list = top_water_list[:n_solvent_leaflet]
top_water = mb.Compound()
for compound in top_water_list:
top_water.add(compound)
lowest_topwater = min(top_water.xyz[:, 2])
highest_toplipid = max(system.xyz[:, 2])
#shift_topwater = abs(highest_toplipid - lowest_topwater) + 0.3
shift_topwater = abs(highest_toplipid - lowest_topwater) + 0.1
top_water.translate([0, 0, shift_topwater])
# Add waters to table of contents
system.add(bot_water)
system.add(top_water)
#waterbox = mb.Box(mins = [0,0,0], maxs = [max(top_water.xyz[:,0])+0.2, max(top_water.xyz[:,1])+0.2, max(top_water.xyz[:,2])+0.2])
#waterbox = mb.Box(mins = [0,0,0], maxs = [max(system.xyz[:,0])+0.2, max(system.xyz[:,1])+0.2, max(system.xyz[:,2])+0.2])
# Add waters to lipid_atom_dict
lipid_atom_dict['SOL'] = list(
range(
atom_index, atom_index +
(2 * n_x * n_y * n_solvent_per_lipid * HOH().n_particles), 1))
atom_index += 2 * n_x * n_y * n_solvent_per_lipid * HOH().n_particles
return system, lipid_atom_dict, atom_index
# we need to scale the coordinates appropriately, since they are taken only
# from the final frame.
scaling_ratio = [
new / old
for old, new in zip(original_box.lengths, avg_box_lengths)
]
print("scaling_ratio: {}".format(scaling_ratio))
for particle in mb_compound.particles():
for i, frame in enumerate(particle.xyz):
particle.xyz[i] = [
factor * coord
for factor, coord in zip(scaling_ratio, particle.xyz[i])
]
# Tile this using grid 3d pattern
cube = mb.Grid3DPattern(2, 2, 2)
# Define a new box based on average box lengths from AA traj, scaled by 8
new_box = mb.Box(lengths=[2 * length for length in avg_box_lengths])
# Scale pattern lengths based on the new box lengths
cube.scale([length for length in new_box.lengths])
replicated = cube.apply(mb_compound)
mirrored_image = mb.Compound()
for item in replicated:
mirrored_image.add(item)
# Particle renaming due to mbuild coarsegrained format
for particle in mb_compound.particles():
particle.name = "_" + particle.name.strip()
for particle in mirrored_image.particles():
particle.name = "_" + particle.name.strip()
import mbuild as mb
import foyer
import numpy
import mdtraj
import pdb
single_propane = mb.load('propane_ua.mol2')
single_propane.name = "prop"
#system = mb.fill_box(single_propane, n_compounds = 100, density = 1.0)
cube = mb.Grid3DPattern(10, 10, 10)
cube.scale([5, 5, 5])
cube_list = cube.apply(single_propane)
system = mb.Compound()
for compound in cube_list:
system.add(compound)
system.save('propane.gro', overwrite=True, residues=['prop'])
#system.save('propane.top', forcefield_files='small_ff.xml', overwrite=True)
