def test_harmonic_oscillators():
    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations":1000}
    replica_exchange = ReplicaExchange.create(states, coordinates, nc_filename, mpicomm=mpicomm, parameters=parameters)
    replica_exchange.run()

    u_permuted = replica_exchange.database.ncfile.variables["energies"][:]
    s = replica_exchange.database.ncfile.variables["states"][:]

    u = permute_energies(u_permuted, s)

    u0 = np.array([[ho.reduced_potential_expectation(s0, s1) for s1 in states] for s0 in states])

    l0 = np.log(u0)  # Compare on log scale because uncertainties are proportional to values
    l1 = np.log(u.mean(0))
    eq(l0, l1, decimal=1)
def test_harmonic_oscillators_save_and_load():

    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations":200}
    replica_exchange = ReplicaExchange.create(states, coordinates, nc_filename, mpicomm=mpicomm, parameters=parameters)
    replica_exchange.run()
    
    replica_exchange.extend(100)

    replica_exchange = resume(nc_filename, mpicomm=mpicomm)
    eq(replica_exchange.iteration, 200)
    replica_exchange.run()
Exemplo n.º 3
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def test_check_positions():
    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [
        ThermodynamicState(system=system, temperature=T_i[i])
        for i in range(n_replicas)
    ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations": 10}
    replica_exchange = ReplicaExchange.create(states,
                                              coordinates,
                                              nc_filename,
                                              mpicomm=mpicomm,
                                              parameters=parameters)
    replica_exchange.run()

    db = replica_exchange.database
    db.check_energies()
def test_harmonic_oscillators_save_and_load():

    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [
        ThermodynamicState(system=system, temperature=T_i[i])
        for i in range(n_replicas)
    ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations": 200}
    replica_exchange = ReplicaExchange.create(states,
                                              coordinates,
                                              nc_filename,
                                              mpicomm=mpicomm,
                                              parameters=parameters)
    replica_exchange.run()

    replica_exchange.extend(100)

    replica_exchange = resume(nc_filename, mpicomm=mpicomm)
    eq(replica_exchange.iteration, 200)
    replica_exchange.run()
Exemplo n.º 5
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def test_get_traj():
    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 300.0 * unit.kelvin
    T_i = [T_min, T_min * 1.01, T_min * 1.1]
    n_replicas = len(T_i)

    ho = testsystems.AlanineDipeptideExplicit()

    system = ho.system
    positions = ho.positions

    states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations":3}
    replica_exchange = ReplicaExchange.create(states, coordinates, nc_filename, mpicomm=mpicomm, parameters=parameters)
    replica_exchange.run()

    db = replica_exchange.database

    trj0 = md.load("repex/data/alanine-dipeptide-explicit/alanine-dipeptide.pdb")
    db.set_traj(trj0)

    trj1 = db.get_traj(state_index=0)
    trj2 = db.get_traj(replica_index=0)
Exemplo n.º 6
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def test_output_diagnostics():
    tempdir = tempfile.mkdtemp()
    nc_filename = tempdir + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations":10}
    replica_exchange = ReplicaExchange.create(states, coordinates, nc_filename, mpicomm=mpicomm, parameters=parameters)
    replica_exchange.run()

    db = replica_exchange.database
    db.check_energies()
    
    db.output_diagnostics(tempdir + "/diagnostics/")
def test_harmonic_oscillators():
    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 1.0 * unit.kelvin
    T_i = [T_min, T_min * 10., T_min * 100.]
    n_replicas = len(T_i)

    ho = testsystems.HarmonicOscillator()

    system = ho.system
    positions = ho.positions

    states = [
        ThermodynamicState(system=system, temperature=T_i[i])
        for i in range(n_replicas)
    ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations": 1000}
    replica_exchange = ReplicaExchange.create(states,
                                              coordinates,
                                              nc_filename,
                                              mpicomm=mpicomm,
                                              parameters=parameters)
    replica_exchange.run()

    u_permuted = replica_exchange.database.ncfile.variables["energies"][:]
    s = replica_exchange.database.ncfile.variables["states"][:]

    u = permute_energies(u_permuted, s)

    u0 = np.array([[ho.reduced_potential_expectation(s0, s1) for s1 in states]
                   for s0 in states])

    l0 = np.log(
        u0
    )  # Compare on log scale because uncertainties are proportional to values
    l1 = np.log(u.mean(0))
    eq(l0, l1, decimal=1)
Exemplo n.º 8
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def test_get_traj():
    nc_filename = tempfile.mkdtemp() + "/out.nc"

    T_min = 300.0 * unit.kelvin
    T_i = [T_min, T_min * 1.01, T_min * 1.1]
    n_replicas = len(T_i)

    ho = testsystems.AlanineDipeptideExplicit()

    system = ho.system
    positions = ho.positions

    states = [
        ThermodynamicState(system=system, temperature=T_i[i])
        for i in range(n_replicas)
    ]

    coordinates = [positions] * n_replicas

    mpicomm = dummympi.DummyMPIComm()
    parameters = {"number_of_iterations": 3}
    replica_exchange = ReplicaExchange.create(states,
                                              coordinates,
                                              nc_filename,
                                              mpicomm=mpicomm,
                                              parameters=parameters)
    replica_exchange.run()

    db = replica_exchange.database

    prmtop_filename = testsystems.get_data_filename(
        "data/alanine-dipeptide-explicit/alanine-dipeptide.prmtop")
    crd_filename = testsystems.get_data_filename(
        "data/alanine-dipeptide-explicit/alanine-dipeptide.crd")
    trj0 = md.load_restrt(crd_filename, top=prmtop_filename)
    db.set_traj(trj0)

    trj1 = db.get_traj(state_index=0)
    trj2 = db.get_traj(replica_index=0)
Exemplo n.º 9
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pdb_filename = "./1vii.pdb"

temperature = 300 * u.kelvin
friction = 0.3 / u.picosecond
timestep = 2.0 * u.femtosecond

forcefield = app.ForceField("amber10.xml", "tip3p.xml")

pdb = app.PDBFile(pdb_filename)

model = app.modeller.Modeller(pdb.topology, pdb.positions)
model.addSolvent(forcefield, padding=0.01 * u.nanometer)

system = forcefield.createSystem(
    model.topology, nonbondedMethod=app.PME, nonbondedCutoff=1.0 * u.nanometers, constraints=app.HAngles
)

states = [ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas)]

coordinates = [model.getPositions()] * n_replicas

# database = repex.netcdf_io.NetCDFDatabase(nc_filename, states, coordinates)

# replica_exchange = ReplicaExchange(states, coordinates, nc_filename)
# replica_exchange = ReplicaExchange.create_repex(states, coordinates, nc_filename,  mpicomm=MPI.COMM_WORLD, **{})
replica_exchange = ReplicaExchange.resume_repex(nc_filename, mpicomm=MPI.COMM_WORLD, **{})
replica_exchange.number_of_iterations = 30
replica_exchange.run()
Exemplo n.º 10
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temperature = 300 * u.kelvin
friction = 0.3 / u.picosecond
timestep = 2.0 * u.femtosecond

forcefield = app.ForceField("amber10.xml", "tip3p.xml")

pdb = app.PDBFile(pdb_filename)

model = app.modeller.Modeller(pdb.topology, pdb.positions)
model.addSolvent(forcefield, padding=0.01 * u.nanometer)

system = forcefield.createSystem(model.topology,
                                 nonbondedMethod=app.PME,
                                 nonbondedCutoff=1.0 * u.nanometers,
                                 constraints=app.HAngles)

states = [
    ThermodynamicState(system=system, temperature=T_i[i])
    for i in range(n_replicas)
]

coordinates = [model.getPositions()] * n_replicas

#database = repex.netcdf_io.NetCDFDatabase(nc_filename, states, coordinates)

#replica_exchange = ReplicaExchange(states, coordinates, nc_filename)
#replica_exchange = ReplicaExchange.create_repex(states, coordinates, nc_filename, **{})
replica_exchange = ReplicaExchange.resume_repex(nc_filename, **{})
replica_exchange.number_of_iterations = 20
replica_exchange.run()
Exemplo n.º 11
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T_i = [ T_min + (T_max - T_min) * (np.exp(float(i) / float(n_replicas-1)) - 1.0) / (np.e - 1.0) for i in range(n_replicas) ]


pdb_filename = "./1vii.pdb"

temperature = 300 * u.kelvin
friction = 0.3 / u.picosecond
timestep = 2.0 * u.femtosecond

forcefield = app.ForceField("amber10.xml", "tip3p.xml")

pdb = app.PDBFile(pdb_filename)

model = app.modeller.Modeller(pdb.topology, pdb.positions)
model.addSolvent(forcefield, padding=0.01 * u.nanometer)

system = forcefield.createSystem(model.topology, nonbondedMethod=app.PME, nonbondedCutoff=1.0 * u.nanometers, constraints=app.HAngles)

states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

coordinates = [model.getPositions()] * n_replicas

#database = repex.netcdf_io.NetCDFDatabase(nc_filename, states, coordinates)

#replica_exchange = ReplicaExchange(states, coordinates, nc_filename)
#replica_exchange = ReplicaExchange.create_repex(states, coordinates, nc_filename,  mpicomm=MPI.COMM_WORLD, **{})
replica_exchange = ReplicaExchange.resume_repex(nc_filename, mpicomm=MPI.COMM_WORLD, **{})
replica_exchange.number_of_iterations = 30
replica_exchange.run()
Exemplo n.º 12
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T_i = [ T_min + (T_max - T_min) * (np.exp(float(i) / float(n_replicas-1)) - 1.0) / (np.e - 1.0) for i in range(n_replicas) ]


pdb_filename = "./1vii.pdb"

temperature = 300 * u.kelvin
friction = 0.3 / u.picosecond
timestep = 2.0 * u.femtosecond

forcefield = app.ForceField("amber10.xml", "tip3p.xml")

pdb = app.PDBFile(pdb_filename)

model = app.modeller.Modeller(pdb.topology, pdb.positions)
model.addSolvent(forcefield, padding=0.01 * u.nanometer)

system = forcefield.createSystem(model.topology, nonbondedMethod=app.PME, nonbondedCutoff=1.0 * u.nanometers, constraints=app.HAngles)

states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

coordinates = [model.getPositions()] * n_replicas

#database = repex.netcdf_io.NetCDFDatabase(nc_filename, states, coordinates)

#replica_exchange = ReplicaExchange(states, coordinates, nc_filename)
#replica_exchange = ReplicaExchange.create_repex(states, coordinates, nc_filename, **{})
replica_exchange = ReplicaExchange.resume_repex(nc_filename, **{})
replica_exchange.number_of_iterations = 20
replica_exchange.run()
Exemplo n.º 13
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T_i = [ T_min + (T_max - T_min) * (math.exp(float(i) / float(n_replicas-1)) - 1.0) / (math.e - 1.0) for i in range(n_replicas) ]

pdb_filename = "1VII.pdb"

temperature = 300 * u.kelvin
friction = 0.3 / u.picosecond
timestep = 2.0 * u.femtosecond

forcefield = app.ForceField("amber10.xml", "tip3p.xml")

pdb = app.PDBFile(pdb_filename)

model = app.modeller.Modeller(pdb.topology, pdb.positions)
model.addSolvent(forcefield, padding=0.4 * u.nanometer)

system = forcefield.createSystem(model.topology, nonbondedMethod=app.PME, nonbondedCutoff=1.0 * u.nanometers, constraints=app.HAngles)

states = [ ThermodynamicState(system=system, temperature=T_i[i]) for i in range(n_replicas) ]

simulation = ReplicaExchange(states, [model.getPositions()] * n_replicas, nc_filename) # initialize the replica-exchange simulation
simulation.minimize = False
simulation.number_of_iterations = 2 # set the simulation to only run 2 iterations
simulation.timestep = 2.0 * u.femtoseconds # set the timestep for integration
simulation.nsteps_per_iteration = 50 # run 50 timesteps per iteration
simulation.run() # run the simulation


database = repex.netdf_io.NetCDFDatabase(nc_filename)
simulation = ReplicaExchange(states, [model.getPositions()] * n_replicas, database) # initialize the replica-exchange simulation