def _get_prmtop(self, mol, prm):
from htmd.parameterization.writers import writeFRCMOD, getAtomTypeMapping
from tempfile import TemporaryDirectory
from subprocess import call
from simtk.openmm import app
with TemporaryDirectory() as tmpDir:
frcFile = os.path.join(tmpDir, 'mol.frcmod')
mapping = getAtomTypeMapping(prm)
writeFRCMOD(mol, prm, frcFile, typemap=mapping)
mol2 = mol.copy()
mol2.atomtype[:] = np.vectorize(mapping.get)(mol2.atomtype)
molFile = os.path.join(tmpDir, 'mol.mol2')
mol2.write(molFile)
with open(os.path.join(tmpDir, 'tleap.inp'), 'w') as file:
file.writelines(
('loadAmberParams %s\n' % frcFile,
'MOL = loadMol2 %s\n' % molFile,
'saveAmberParm MOL mol.prmtop mol.inpcrd\n', 'quit'))
with open(os.path.join(tmpDir, 'tleap.out'), 'w') as out:
call(('tleap', '-f', 'tleap.inp'), cwd=tmpDir, stdout=out)
prmtop = app.AmberPrmtopFile(os.path.join(tmpDir, 'mol.prmtop'))
return prmtop
def _system_from_prmtop(self, prmtop_path, impcrd_path):
# load in Amber input files
prmtop = app.AmberPrmtopFile(prmtop_path)
inpcrd = app.AmberInpcrdFile(incrd_path)
from numpy import array, float64
from simtk import unit
positions = 10 * array(inpcrd.positions.value_in_unit(unit.nanometers),
float64) # Angstroms
self._particle_positions = positions
# Ordered atoms to match inpcrd order.
# PDB can have atoms for a chain not contiguous, e.g. chain A hetatm at end of file.
# But inpcrd has reordered so all chain atoms are contiguous.
atom_pos = atoms.scene_coords
from chimerax.geometry import find_closest_points
i1, i2, near = find_closest_points(positions, atom_pos, 1.0)
from numpy import empty, int32
ai = empty((len(i1), ), int32)
ai[i1] = near
self.atoms = oatoms = atoms[ai]
# diff = oatoms.scene_coords - positions
# print ('diff', diff.max(), diff.min())
# p2a = {tuple(int(x) for x in a.scene_coord):a for a in atoms}
# oatoms = [p2a[tuple(int(x) for x in p)] for p in positions]
# print('\n'.join('%s %s' %(str(a1), str(a2)) for a1,a2 in zip(atoms, oatoms)))
# print ('inpcrd', positions[:10])
# print ('atoms', atom_pos[:10])
# prepare system and integrator
system = prmtop.createSystem(nonbondedMethod=app.CutoffNonPeriodic,
nonbondedCutoff=1.0 * unit.nanometers,
constraints=app.HBonds,
rigidWater=True,
ewaldErrorTolerance=0.0005)
self._system = system
def equilibrate(self):
if os.path.exists(self.equil_pdb_filename):
return
prmtop = app.AmberPrmtopFile(self.prmtop_filename)
inpcrd = app.AmberInpcrdFile(self.inpcrd_filename)
system = prmtop.createSystem(nonbondedMethod=app.PME, nonbondedCutoff=CUTOFF, constraints=app.HBonds)
integrator = mm.LangevinIntegrator(self.temperature, EQUIL_FRICTION, EQUIL_TIMESTEP)
system.addForce(mm.MonteCarloBarostat(PRESSURE, self.temperature, BAROSTAT_FREQUENCY))
simulation = app.Simulation(prmtop.topology, system, integrator)
simulation.context.setPositions(inpcrd.positions)
state = simulation.context.getState(getEnergy=True)
print(state.getPotentialEnergy())
print('Minimizing.')
simulation.minimizeEnergy()
state = simulation.context.getState(getEnergy=True)
print(state.getPotentialEnergy())
simulation.context.setVelocitiesToTemperature(self.temperature)
print('Equilibrating.')
simulation.reporters.append(app.DCDReporter(self.equil_dcd_filename, OUTPUT_FREQUENCY_EQUIL))
simulation.step(N_EQUIL_STEPS)
# Re-write a better PDB with correct box sizes.
traj = md.load(self.equil_dcd_filename, top=self.prmtop_filename)[-1]
traj.save(self.equil_pdb_filename)
def MinimizedEnergy(filepath, gpu=False):
prmtop = app.AmberPrmtopFile(f'{filepath}.prmtop')
inpcrd = app.AmberInpcrdFile(f'{filepath}.inpcrd')
print(f'{filepath}.prmtop')
system = prmtop.createSystem(implicitSolvent=app.GBn2,
nonbondedMethod=app.CutoffNonPeriodic,
nonbondedCutoff=1.0 * unit.nanometers,
constraints=app.HBonds,
rigidWater=True,
ewaldErrorTolerance=0.0005)
integrator = mm.LangevinIntegrator(310.15 * unit.kelvin,
1.0 / unit.picoseconds,
2.0 * unit.femtoseconds)
integrator.setConstraintTolerance(0.00001)
# TODO: This should just recognize whatever the computer is capable of, not force CUDA.
if gpu:
platform = 'CUDA'
else:
platform = 'CPU'
platform = mm.Platform.getPlatformByName(platform)
simulation = app.Simulation(prmtop.topology, system, integrator, platform)
simulation.context.setPositions(inpcrd.positions)
simulation.minimizeEnergy()
energy = simulation.context.getState(
getEnergy=True).getPotentialEnergy().value_in_unit(unit.kilojoule /
unit.mole)
return energy
def _openmm_init(fname_prmtop, platformName=None):
prmtop = app.AmberPrmtopFile(fname_prmtop)
system = prmtop.createSystem(nonbondedMethod=app.NoCutoff,
constraints=app.HBonds,
implicitSolvent=None)
time_step = 1.0 # fs
integrator = omm.LangevinIntegrator(300.0 * unit.kelvin,
1.0 / unit.picoseconds,
time_step * unit.femtoseconds)
platform = omm.Platform.getPlatformByName('Reference')
properties = {}
if platformName == 'OpenCL':
platform = omm.Platform.getPlatformByName('OpenCL')
properties = {'OpenCLPrecision': 'mixed'}
if platformName == 'CUDA':
platform = omm.Platform.getPlatformByName('CUDA')
properties = {'CudaPrecision': 'mixed'}
simulation = app.Simulation(prmtop.topology, system, integrator, platform,
properties)
charge_list = prmtop._prmtop.getCharges()
natom = prmtop._prmtop.getNumAtoms()
nonbond = np.array(prmtop._prmtop.getNonbondTerms())
return simulation, natom, charge_list, nonbond
def MinimizedEnergy(filepath):
prmtop = app.AmberPrmtopFile(f'{filepath}.prmtop')
inpcrd = app.AmberInpcrdFile(f'{filepath}.inpcrd')
system = prmtop.createSystem(implicitSolvent=app.GBn2,
nonbondedMethod=app.CutoffNonPeriodic,
nonbondedCutoff=1.0*unit.nanometers,
constraints=app.HBonds,
rigidWater=True,
ewaldErrorTolerance=0.0005)
integrator = mm.LangevinIntegrator(300*unit.kelvin,
1.0/unit.picoseconds,
2.0*unit.femtoseconds)
integrator.setConstraintTolerance(0.00001)
# TODO: This should just recognize whatever the computer is capable of, not force CUDA.
platform = mm.Platform.getPlatformByName('CUDA')
# TODO: I am not sure if mixed precision is necessary. It dramatically changes the results.
properties = {'CudaPrecision': 'mixed'}
simulation = app.Simulation(prmtop.topology, system, integrator, platform)
simulation.context.setPositions(inpcrd.positions)
simulation.minimizeEnergy()
energy = simulation.context.getState(getEnergy=True).getPotentialEnergy().value_in_unit(unit.kilojoule/unit.mole)
return energy
def _create_implicit_solvent_openmm(self, mol):
"""
Take a list of oemols, and generate openmm systems
and positions for each.
Parameters
----------
mol : oemol
oemol to be turned into system, positions
Returns
-------
system : simtk.openmm.System
openmm system corresponding to molecule
positions : np.array, Quantity nm
array of atomic positions
"""
molecule_name = oeiupac.OECreateIUPACName(mol)
openmoltools.openeye.enter_temp_directory()
_, tripos_mol2_filename = openmoltools.openeye.molecule_to_mol2(
mol,
tripos_mol2_filename=molecule_name + '.tripos.mol2',
conformer=0,
residue_name='MOL')
gaff_mol2, frcmod = openmoltools.amber.run_antechamber(
molecule_name, tripos_mol2_filename)
prmtop_file, inpcrd_file = openmoltools.amber.run_tleap(
molecule_name, gaff_mol2, frcmod)
prmtop = app.AmberPrmtopFile(prmtop_file)
crd = app.AmberInpcrdFile(inpcrd_file)
system = prmtop.createSystem(implicitSolvent=self.implicit_solvent,
constraints=self.constraints,
removeCMMotion=False)
positions = crd.getPositions(asNumpy=True)
return system, positions
def _get_prmtop(self):
from parameterize.parameterization.writers import (
writeFRCMOD,
getAtomTypeMapping,
)
with TemporaryDirectory() as tmpDir:
frcFile = os.path.join(tmpDir, "mol.frcmod")
mapping = getAtomTypeMapping(self._parameters)
writeFRCMOD(self.molecule,
self._parameters,
frcFile,
typemap=mapping)
mol2 = self.molecule.copy()
mol2.atomtype[:] = np.vectorize(mapping.get)(mol2.atomtype)
molFile = os.path.join(tmpDir, "mol.mol2")
mol2.write(molFile)
with open(os.path.join(tmpDir, "tleap.inp"), "w") as file:
file.writelines((
"loadAmberParams %s\n" % frcFile,
"MOL = loadMol2 %s\n" % molFile,
"saveAmberParm MOL mol.prmtop mol.inpcrd\n",
"quit",
))
with open(os.path.join(tmpDir, "tleap.out"), "w") as out:
call(("tleap", "-f", "tleap.inp"), cwd=tmpDir, stdout=out)
prmtop = app.AmberPrmtopFile(os.path.join(tmpDir, "mol.prmtop"))
return prmtop
def setUp(self):
self.temperature = 300.0 * unit.kelvin
self.pressure = 1.0 * unit.atmospheres
self.timestep = 1.0 * unit.femtoseconds
self.collision_rate = 9.1 / unit.picoseconds
self.pH = 7.4
self.platform_name = 'CPU'
testsystems = get_data('edchky_explicit', 'testsystems')
self.positions = openmm.XmlSerializer.deserialize(
open('{}/edchky-explicit.state.xml'.format(
testsystems)).read()).getPositions(asNumpy=True)
self.system = openmm.XmlSerializer.deserialize(
open('{}/edchky-explicit.sys.xml'.format(testsystems)).read())
self.prmtop = app.AmberPrmtopFile(
'{}/edchky-explicit.prmtop'.format(testsystems))
self.cpin_filename = '{}/edchky-explicit.cpin'.format(testsystems)
calibration_settings = dict()
calibration_settings["temperature"] = self.temperature
calibration_settings["timestep"] = self.timestep
calibration_settings["pressure"] = self.pressure
calibration_settings["collision_rate"] = self.collision_rate
calibration_settings["pH"] = self.pH
calibration_settings["solvent"] = "explicit"
calibration_settings["nsteps_per_trial"] = 5
self.calibration_settings = calibration_settings
def create_system_from_amber(prmtop_filename, crd_filename, verbose=False):
"""Utility function. Create and return an OpenMM System given a prmtop and
crd, AMBER format files.
Parameters
----------
prmtop_filename : str (filename)
Filename of input AMBER format prmtop file
crd_filename : str (filename)
Filename of input AMBER format crd file
Returns
_______
topology : OpenMM Topology
system : OpenMM System
positions : initial atomic positions (OpenMM)
"""
# Create System object
prmtop = app.AmberPrmtopFile(prmtop_filename)
topology = prmtop.topology
system = prmtop.createSystem(nonbondedMethod=app.NoCutoff,
constraints=None,
implicitSolvent=None)
# Read coordinates
crd = app.AmberInpcrdFile(crd_filename)
positions = crd.getPositions()
return (topology, system, positions)
def _setup_OpenMM(self, moiety, phase):
if not hasattr(self, '_OpenMM_sims'):
self._OpenMM_sims = {}
key = moiety + phase
if not key in self._OpenMM_sims.keys():
import simtk.openmm
import simtk.openmm.app as OpenMM_app
prmtop = OpenMM_app.AmberPrmtopFile(
self.args.FNs['prmtop'][moiety])
inpcrd = OpenMM_app.AmberInpcrdFile(
self.args.FNs['inpcrd'][moiety])
OMM_system = prmtop.createSystem(nonbondedMethod=OpenMM_app.NoCutoff, \
constraints=None, implicitSolvent={
'OpenMM_Gas':None,
'OpenMM_GBn':OpenMM_app.GBn,
'OpenMM_GBn2':OpenMM_app.GBn2,
'OpenMM_HCT':OpenMM_app.HCT,
'OpenMM_OBC1':OpenMM_app.OBC1,
'OpenMM_OBC2':OpenMM_app.OBC2}[phase])
# Set receptor atom mass to zero to facilitate future minimization
if moiety == 'R':
for i in range(OMM_system.getNumParticles()):
OMM_system.setParticleMass(i, 0)
elif moiety == 'RL':
for i in range(self.top_RL.L_first_atom) + \
range(self.top_RL.L_first_atom + self.top.universe.numberOfAtoms(), \
OMM_system.getNumParticles()):
OMM_system.setParticleMass(i, 0)
dummy_integrator = simtk.openmm.LangevinIntegrator(300*simtk.unit.kelvin, \
1/simtk.unit.picosecond, 0.002*simtk.unit.picoseconds)
self._OpenMM_sims[key] = OpenMM_app.Simulation(prmtop.topology, \
OMM_system, dummy_integrator)
def test_amber_implicit(prmtop_filename, inpcrd_filename):
logger.info("====================================================================")
logger.info("Creating system...")
from simtk.openmm import app
prmtop = app.AmberPrmtopFile(prmtop_filename)
reference_system = prmtop.createSystem(constraints=app.HBonds, nonbondedMethod=app.NoCutoff, implicitSolvent=app.OBC1)
# Read positions.
inpcrd = app.AmberInpcrdFile(inpcrd_filename, loadBoxVectors=False)
positions = inpcrd.getPositions(asNumpy=True)
# Set box vectors.
#box_vectors = inpcrd.getBoxVectors(asNumpy=True)
#system.setDefaultPeriodicBoxVectors(box_vectors[0], box_vectors[1], box_vectors[2])
receptor_atoms = range(0,1326)
ligand_atoms = range(1326, 1356)
# Minimize.
logger.info("Minimizing...")
timestep = 1.0 * units.femtoseconds
integrator = openmm.VerletIntegrator(timestep)
context = openmm.Context(reference_system, integrator)
context.setPositions(positions)
openmm.LocalEnergyMinimizer.minimize(context, 1.0, 100)
state = context.getState(getEnergy=True, getPositions=True)
positions = state.getPositions(asNumpy=True)
del context, integrator
logger.info("Done.")
alchemical_factory_check(reference_system, positions, receptor_atoms, ligand_atoms)
#benchmark(reference_system, positions, receptor_atoms, ligand_atoms)
logger.info("====================================================================")
logger.info("")
def oemol_to_openmm_system(oemol, molecule_name):
"""
Create an openmm system out of an oemol
Returns
-------
system : openmm.System object
the system from the molecule
positions : [n,3] np.array of floats
"""
_, tripos_mol2_filename = openmoltools.openeye.molecule_to_mol2(
oemol,
tripos_mol2_filename=molecule_name + '.tripos.mol2',
conformer=0,
residue_name='MOL')
gaff_mol2, frcmod = openmoltools.openeye.run_antechamber(
molecule_name, tripos_mol2_filename)
prmtop_file, inpcrd_file = openmoltools.utils.run_tleap(
molecule_name, gaff_mol2, frcmod)
prmtop = app.AmberPrmtopFile(prmtop_file)
# NOTE implicit solvent not supported by this SystemGenerator
#system = prmtop.createSystem(implicitSolvent=app.OBC1)
system = prmtop.createSystem(implicitSolvent=None)
crd = app.AmberInpcrdFile(inpcrd_file)
return system, crd.getPositions(asNumpy=True), prmtop.topology
def build(self, target_path="", file_name="out"):
build_string = self.build_string
if self.chains:
for chain in self.chains:
self.build_string += chain.structure.init_string
for index, chain in enumerate(self.chains):
if chain.sequence:
self.build_string +="""
CHAIN%s = sequence {%s}
"""%(index, chain.sequence)
else:
raise ValueError("Empty Chain Index: %s"%index)
chain_string = " ".join(["CHAIN%s"%index for index in range(len(self.chains))])
self.build_string +="""
UNION = combine {%s}
saveamberparm UNION %s.prmtop %s.inpcrd
quit
"""%(chain_string, target_path+file_name, target_path+file_name)
infile = open("%s%s.in"%(target_path, file_name),"w")
infile.write(self.build_string)
infile.close()
self.build_string = build_string
#os.remove("%s%s.in"%(target_path, file_name))
result = subprocess.call("tleap -f %s%s.in"%(target_path,file_name),shell=True)
self.prmtop = app.AmberPrmtopFile(target_path+file_name+".prmtop")
self.inpcrd = app.AmberInpcrdFile(target_path+file_name+".inpcrd")
self.topology = self.prmtop.topology
self.positions = self.inpcrd.positions
self.system = self.prmtop.createSystem(nonbondedMethod=app.NoCutoff, constraints=None, implicitSolvent=app.OBC1)
self.integrator = mm.LangevinIntegrator(300.*unit.kelvin, 1./unit.picosecond, 0.002*unit.picoseconds)
self.simulation = app.Simulation(self.topology, self.system, self.integrator)
else:
raise ValueError('Empty Complex! CANNOT build!')
def production(self):
if os.path.exists(self.production_dcd_filename) and os.path.exists(self.production_data_filename):
return
prmtop = app.AmberPrmtopFile(self.prmtop_filename)
pdb = app.PDBFile(self.equil_pdb_filename)
system = prmtop.createSystem(nonbondedMethod=app.PME, nonbondedCutoff=CUTOFF, constraints=app.HBonds)
integrator = mm.LangevinIntegrator(self.temperature, FRICTION, TIMESTEP)
system.addForce(mm.MonteCarloBarostat(PRESSURE, self.temperature, BAROSTAT_FREQUENCY))
simulation = app.Simulation(prmtop.topology, system, integrator)
simulation.context.setPositions(pdb.positions)
simulation.context.setPeriodicBoxVectors(*pdb.topology.getPeriodicBoxVectors())
simulation.context.setVelocitiesToTemperature(self.temperature)
print('Production.')
simulation.reporters.append(app.DCDReporter(self.production_dcd_filename, OUTPUT_FREQUENCY))
simulation.reporters.append(app.StateDataReporter(self.production_data_filename, OUTPUT_DATA_FREQUENCY, step=True, potentialEnergy=True, temperature=True, density=True))
converged = False
while not converged:
simulation.step(N_STEPS)
d = pd.read_csv(self.production_data_filename, names=["step", "U", "Temperature", "Density"], skiprows=1)
density_ts = np.array(d.Density)
[t0, g, Neff] = ts.detectEquilibration(density_ts, nskip=1000)
density_ts = density_ts[t0:]
density_mean_stderr = density_ts.std() / np.sqrt(Neff)
if density_mean_stderr < STD_ERROR_TOLERANCE:
converged = True
def parameterize_molecule(molecule, implicitSolvent=app.OBC1, constraints=None, cleanup=True, verbose=False):
"""
Parameterize the specified molecule for AMBER.
Parameters
----------
molecule : openeye.oechem.OEMol
The molecule to be parameterized.
implicitSolvent : default=app.OBC1
The implicit solvent model to use; one of [None, HCT, OBC1, OBC2, GBn, GBn2]
constraints : default=None
Constraints to use; one of [None, HBonds, AllBonds, HAngles]
cleanup : bool, optional, default=False
If True, work done in a temporary working directory will be deleted.
Returns
-------
system : simtk.openmm.System
The OpenMM System of the molecule.
topology : simtk.openmm.app.Topology
The OpenMM topology of the molecule.
positions :
The positions of the molecule.
gaff_molecule : oechem.OEMol
The OEMol molecule with GAFF atom and bond types.
"""
# Create molecule and geometry.
molecule = gaff2xml.openeye.iupac_to_oemol(iupac_name)
# Create a a temporary directory.
working_directory = tempfile.mkdtemp()
old_directory = os.getcwd()
os.chdir(working_directory)
# Parameterize molecule for AMBER (currently using old machinery for convenience)
# TODO: Replace this with gaff2xml stuff
amber_prmtop_filename = 'molecule.prmtop'
amber_inpcrd_filename = 'molecule.inpcrd'
amber_off_filename = 'molecule.off'
oldmmtools.parameterizeForAmber(molecule, amber_prmtop_filename, amber_inpcrd_filename, charge_model=None, offfile=amber_off_filename)
# Read in the molecule with GAFF atom and bond types
print "Overwriting OEMol with GAFF atom and bond types..."
gaff_molecule = oldmmtools.loadGAFFMolecule(molecule, amber_off_filename)
# Load positions.
inpcrd = app.AmberInpcrdFile(amber_inpcrd_filename)
positions = inpcrd.getPositions()
# Load system (with GB parameters).
prmtop = app.AmberPrmtopFile(amber_prmtop_filename)
system = prmtop.createSystem(implicitSolvent=implicitSolvent, constraints=constraints)
# Clean up temporary files.
os.chdir(old_directory)
if cleanup:
commands.getoutput('rm -r %s' % working_directory)
else:
print "Work done in %s..." % working_directory
return [system, topology, positions, gaff_molecule]
def setup_simulation(self, system, settings):
inpcrd = app.AmberInpcrdFile(settings['coordinates'])
prmtop = app.AmberPrmtopFile(self.topology)
platform, prop = self.setup_platform(settings)
simulation = app.Simulation(prmtop.topology, system, self.integrator,
platform, prop)
simulation.context.setPositions(inpcrd.positions)
return simulation
def serialise_system(self):
"""Serialise the amber style files into an openmm object."""
prmtop = app.AmberPrmtopFile(self.prmtop)
system = prmtop.createSystem(nonbondedMethod=app.NoCutoff, constraints=None)
with open('serialised.xml', 'w+') as out:
out.write(XmlSerializer.serializeSystem(system))
def build_simulation_from_dictionary(self):
d = {}
d = json.load(open(self.lot_inp_file))
print(d)
# crystal
use_crystal = d.get('use_crystal', 'no')
# PME
use_pme = d.get('use_pme', 'no')
cutoff = d.get('cutoff', 1.0)
# prmtop, inpcrd
prmtopfile = d.get('prmtop', None)
inpcrdfile = d.get('inpcrd', None)
# Integrator will never be used (Simulation requires one)
integrator = openmm.VerletIntegrator(1.0)
# create simulation object
if use_crystal == 'yes':
crystal = load_file(prmtopfile, inpcrdfile)
if use_pme == 'yes':
system = crystal.createSystem(
nonbondedMethod=openmm_app.PME,
nonbondedCutoff=cutoff * openmm_units.nanometer,
)
else:
system = crystal.createSystem(
nonbondedMethod=openmm_app.NoCutoff, )
self.simulation = openmm_app.Simulation(crystal.topology, system,
integrator)
# set the box vectors
inpcrd = openmm_app.AmberInpcrdFile(inpcrdfile)
if inpcrd.boxVectors is not None:
print(" setting box vectors")
print(inpcrd.boxVectors)
self.simulation.context.setPeriodicBoxVectors(
*inpcrd.boxVectors)
else:
prmtop = openmm_app.AmberPrmtopFile(prmtopfile)
if use_pme == 'yes':
system = prmtop.createSystem(
nonbondedMethod=openmm_app.PME,
nonbondedCutoff=cutoff * openmm_units.nanometer,
)
else:
system = prmtop.createSystem(
nonbondedMethod=openmm_app.NoCutoff, )
self.simulation = openmm_app.Simulation(
prmtop.topology,
system,
integrator,
)
def simulate(inpcrd_filenames, prmtop_filenames, path, niterations=10000, implicit=True, gpu=True, niters=0):
"""
The program simulates three systems: the ligand alone, protein alone, and complex.
Input is a dict of files to the input coordinates (.inpcrd) and parameters (.prmtop)
as well as the number of iterations. One iteration is one picosecond.
Output is a dict of a list of the ennthalpies calculated using mmgbsa for each system.
"""
from simtk.openmm import app
import simtk.openmm as mm
from simtk import unit
phases = inpcrd_filenames.keys()
nsteps_per_iteration = 500 # 1 picosecond
enthalpies = dict()
for phase in phases:
print("on phase", phase)
enthalpies[phase] = np.zeros([niterations])
prmtop = app.AmberPrmtopFile(prmtop_filenames[phase])
inpcrd = app.AmberInpcrdFile(inpcrd_filenames[phase])
system = prmtop.createSystem(implicitSolvent=app.GBn2,
nonbondedMethod=app.CutoffNonPeriodic,
nonbondedCutoff=2.0*unit.nanometers,
constraints=app.HBonds)
integrator = mm.LangevinIntegrator(310.15*unit.kelvin, 1.0/unit.picoseconds, 2.0*unit.femtoseconds)
integrator.setConstraintTolerance(0.00001)
if gpu:
platform = 'CUDA'
else:
platform = 'CPU'
platform = mm.Platform.getPlatformByName(platform)
if gpu:
properties = {'CudaPrecision': 'mixed', 'CudaDeviceIndex' : '0'}
else:
properties = {}
simulation = app.Simulation(prmtop.topology, system, integrator, platform, properties)
simulation.context.setPositions(inpcrd.positions)
if phase == 'com':
simulation.reporters.append(app.PDBReporter(path + '/' + phase + '_output.pdb', 10000))
# Minimize & equilibrate
simulation.minimizeEnergy()
simulation.context.setVelocitiesToTemperature(310.15*unit.kelvin)
simulation.step(100)
# Run simulation
for iteration in range(niterations):
simulation.step(nsteps_per_iteration)
state = simulation.context.getState(getEnergy=True)
potential_energy = state.getPotentialEnergy()
enthalpies[phase][iteration] = potential_energy.value_in_unit(unit.kilojoules_per_mole)
del simulation
del system
del platform
return enthalpies
def _build_system(self,
molecule: Ligand,
input_files: Optional[List[str]] = None) -> System:
"""
Build a system using the amber prmtop files, first we must use antechamber to prep the molecule.
"""
prmtoop_file = self._get_prmtop(molecule=molecule)
prmtop = app.AmberPrmtopFile(prmtoop_file)
system = prmtop.createSystem(nonbondedMethod=app.NoCutoff,
constraints=None)
return system
def __init__(self, config: Config):
"""
:param resource_root:
"""
super().__init__()
self.systemloader_config = config
self.prmtop = app.AmberPrmtopFile(
self.systemloader_config.resource_root + 'com.prmtop')
self.inpcrd = app.AmberInpcrdFile(
self.systemloader_config.resource_root + 'com.inpcrd')
def setUp(self):
prmtop = app.AmberPrmtopFile('systems/water-box-216.prmtop')
system = prmtop.createSystem(nonbondedMethod=app.PME,
nonbondedCutoff=0.9*unit.nanometers,
constraints=app.HBonds, rigidWater=True,
ewaldErrorTolerance=0.0005)
integrator = mm.LangevinIntegrator(300*unit.kelvin, 1.0/unit.picoseconds,
2.0*unit.femtoseconds)
self.simulation = app.Simulation(prmtop.topology, system, integrator,
mm.Platform.getPlatformByName('Reference'))
def runEquilibration(equilibrationFiles, reportName, parameters, worker):
"""
Function that runs the whole equilibration process and returns the final pdb
:param equilibrationFiles: tuple with the topology (prmtop) in the first position and the coordinates
in the second (inpcrd)
:type equilibrationFiles: tuple
:param outputPDB: string with the pdb to save
:type outputPDB: str
:param parameters: Object with the parameters for the simulation
:type parameters: :py:class:`/simulationrunner/SimulationParameters` -- SimulationParameters object
:param worker: Number of the subprocess
:type worker: int
:returns: str -- a string with the outputPDB
"""
prmtop, inpcrd = equilibrationFiles
prmtop = app.AmberPrmtopFile(prmtop)
inpcrd = app.AmberInpcrdFile(inpcrd)
PLATFORM = mm.Platform_getPlatformByName(str(parameters.runningPlatform))
if parameters.runningPlatform == "CUDA":
platformProperties = {"Precision": "mixed", "DeviceIndex": getDeviceIndexStr(worker, parameters.devicesPerTrajectory, devicesPerReplica=parameters.maxDevicesPerReplica), "UseCpuPme": "false"}
else:
platformProperties = {}
if worker == 0:
utilities.print_unbuffered("Running %d steps of minimization" % parameters.minimizationIterations)
if parameters.boxCenter or parameters.cylinderBases:
dummies = findDummyAtom(prmtop)
assert dummies is not None
else:
dummies = None
simulation = minimization(prmtop, inpcrd, PLATFORM, parameters.constraintsMin, parameters, platformProperties, dummies)
# Retrieving the state is expensive (especially when running on GPUs) so we
# only called it once and then separate positions and velocities
state = simulation.context.getState(getPositions=True, getVelocities=True)
positions = state.getPositions()
velocities = state.getVelocities()
if worker == 0:
utilities.print_unbuffered("Running %d steps of NVT equilibration" % parameters.equilibrationLengthNVT)
simulation = NVTequilibration(prmtop, positions, PLATFORM, parameters.equilibrationLengthNVT, parameters.constraintsNVT, parameters, reportName, platformProperties, velocities=velocities, dummy=dummies)
state = simulation.context.getState(getPositions=True, getVelocities=True)
positions = state.getPositions()
velocities = state.getVelocities()
if worker == 0:
utilities.print_unbuffered("Running %d steps of NPT equilibration" % parameters.equilibrationLengthNPT)
simulation = NPTequilibration(prmtop, positions, PLATFORM, parameters.equilibrationLengthNPT, parameters.constraintsNPT, parameters, reportName, platformProperties, velocities=velocities, dummy=dummies)
state = simulation.context.getState(getPositions=True)
root, _ = os.path.splitext(reportName)
outputPDB = "%s_NPT.pdb" % root
with open(outputPDB, 'w') as fw:
app.PDBFile.writeFile(simulation.topology, state.getPositions(), fw)
return outputPDB
def test_openmm_etoh_sim():
path = './etoh_test/sim_openmm/'
topology = 'etoh.prmtop'
coordinates = 'etoh.rst7'
md_out = 'etoh_openmm.csv'
prmtop = app.AmberPrmtopFile(path+topology)
inpcrd = app.AmberInpcrdFile(path+coordinates)
settings = {
'nonbonded_method': app.PME,
'nonbonded_cutoff': 9*unit.angstrom,
'constraints': app.HBonds,
'temperature': 298.15*unit.kelvin,
'friction': 1/unit.picosecond,
'timestep': 0.002*unit.picosecond
}
system = prmtop.createSystem(
nonbondedMethod = settings['nonbonded_method'],
nonbondedCutoff = settings['nonbonded_cutoff'],
constraints = settings['constraints']
)
barostat = mm.MonteCarloBarostat(1.0*unit.bar,298.15*unit.kelvin,25)
system.addForce(barostat)
integrator = LangevinIntegrator(
settings['temperature'],
settings['friction'],
settings['timestep']
)
simulation = app.Simulation(prmtop.topology, system, integrator, mm.Platform.getPlatformByName('CPU'))
simulation.context.setPositions(inpcrd.positions)
simulation.context.setPeriodicBoxVectors(*inpcrd.boxVectors)
simulation.reporters.append(NetCDFReporter(path+'etoh_openmm.nc', 250))
simulation.reporters.append(
app.StateDataReporter(
path+md_out, 250,
step=True,
time=True,
potentialEnergy=True,
kineticEnergy=True,
totalEnergy=True,
temperature=True,
volume=True,
density=True
)
)
simulation.step(100000)
def ligand_energy():
#self.command("saveamberparm ligand ligand.prmtop ligand.inpcrd")
#time.sleep(1)
from mpmath import mp as math
math.prec = 200
lig_top = app.AmberPrmtopFile("ligand.prmtop")
lig_crd = app.AmberInpcrdFile("ligand.inpcrd")
lig_system = lig_top.createSystem(nonbondedMethod=NoCutoff, nonbondedCutoff=10*nanometer, constraints=HAngles, implicitSolvent=OBC1)
lig_integrator = LangevinIntegrator(300*kelvin, 1/picosecond, 0.002*picoseconds)
lig_simulation = Simulation(lig_top.topology, lig_system, lig_integrator)
lig_simulation.context.setPositions(lig_crd.positions)
lig_state = lig_simulation.context.getState(getEnergy = True)
lig_energy = lig_state.getPotentialEnergy().value_in_unit(kilojoule_per_mole)
return lig_energy
def step(array):
global _INFILE
global _BETA
global _NSTEP
beta = _BETA
old_positions, Ntides, is_3prime = array
internal = Aptamer("leaprc.ff12SB",_INFILE)
identifier = Ntides.replace(" ","")
internal.sequence(identifier,Ntides.strip())
internal.unify(identifier)
internal.command("saveamberparm union %s.prmtop %s.inpcrd"%(identifier,identifier))
time.sleep(2)
#print("WhereamI?")
print("Identifier: "+Ntides)
volume = (2*math.pi)**5
aptamer_top = app.AmberPrmtopFile("%s.prmtop"%identifier)
aptamer_crd = app.AmberInpcrdFile("%s.inpcrd"%identifier)
# print("loaded")
# if is_3prime == 1:
en_pos = [mcmc_sample(aptamer_top, aptamer_crd, old_positions, index, Nsteps=_NSTEP) for index in range(10)]
# else:
# en_pos_task = [mcmc_sample_five(aptamer_top, aptamer_crd, old_positions, index, Nsteps=200) for index in range(20)]
# barrier()
# en_pos = value(en_pos_task)
en = []
positions = []
positions_s = []
for elem in en_pos:
en += elem[0]
#print(elem[2], elem[1])
positions_s.append([elem[2], elem[1]])
positions = min(positions_s)[1]
fil = open("best_structure%s.pdb"%Ntides,"w")
app.PDBFile.writeModel(aptamer_top.topology,positions,file=fil)
fil.close()
del fil
Z = volume*math.fsum([math.exp(-beta*elem) for elem in en])/len(en)
P = [math.exp(-beta*elem)/Z for elem in en]
S = volume*math.fsum([-elem*math.log(elem*volume) for elem in P])/len(P)
print("%s : %s"%(Ntides,S))
return positions, Ntides, S
def from_amber(cls, prmtop, inpcrd, temperature=50 * u.kelvin):
prmtop = app.AmberPrmtopFile(prmtop)
inpcrd = app.AmberInpcrdFile(inpcrd)
system = prmtop.createSystem(nonbondedMethod=app.PME,
constraints=app.HBonds,
nonbondedCutoff=10 * u.angstroms,
switchDistance=8 * u.angstroms)
thermodynamic_state = ThermodynamicState(system,
temperature=temperature)
sampler_state = SamplerState(
positions=inpcrd.getPositions(asNumpy=True),
box_vectors=inpcrd.boxVectors)
return Esmacs(thermodynamic_state, sampler_state, prmtop.topology)
def setUp(self):
self.temperature = 300.0 * unit.kelvin
self.pressure = 1.0 * unit.atmospheres
self.timestep = 1.0 * unit.femtoseconds
self.collision_rate = 9.1 / unit.picoseconds
self.pH = 9.6
self.platform_name = 'CPU'
testsystems = get_data('tyr_explicit', 'testsystems')
self.positions = openmm.XmlSerializer.deserialize(
open('{}/tyr.state.xml'.format(testsystems)).read()).getPositions(
asNumpy=True)
self.system = openmm.XmlSerializer.deserialize(
open('{}/tyr.sys.xml'.format(testsystems)).read())
self.prmtop = app.AmberPrmtopFile('{}/tyr.prmtop'.format(testsystems))
self.cpin_filename = '{}/tyr.cpin'.format(testsystems)
def load_lb(cutoff=1.1 * u.nanometers,
constraints=app.HBonds,
hydrogenMass=1.0 * u.amu):
prmtop_filename = "./input/126492-54-4_1000_300.6.prmtop"
pdb_filename = "./input/126492-54-4_1000_300.6_equil.pdb"
pdb = app.PDBFile(pdb_filename)
prmtop = app.AmberPrmtopFile(prmtop_filename)
system = prmtop.createSystem(
nonbondedMethod=app.PME,
nonbondedCutoff=cutoff,
constraints=constraints,
hydrogenMass=hydrogenMass
) # Force rigid water here for comparison to other code
return system, pdb.positions
