def calculate(self, atoms, properties, system_changes):
Calculator.calculate(self, atoms, properties, system_changes)
if system_changes:
if 'energy' in self.results:
del self.results['energy']
if 'forces' in self.results:
del self.results['forces']
if 'energy' not in self.results:
if self.permutation is None:
crd = np.reshape(atoms.get_positions(), (1, len(atoms), 3))
else:
crd = np.reshape(atoms.get_positions()[self.permutation[0, :]],
(1, len(atoms), 3))
sander.set_positions(crd)
e, f = sander.energy_forces()
self.results['energy'] = e.tot * units.kcal / units.mol
if self.permutation is None:
self.results['forces'] = (np.reshape(np.array(f),
(len(atoms), 3)) *
units.kcal / units.mol)
else:
ff = np.reshape(np.array(f), (len(atoms), 3)) * \
units.kcal / units.mol
self.results['forces'] = ff[self.permutation[1, :]]
if 'forces' not in self.results:
if self.permutation is None:
crd = np.reshape(atoms.get_positions(), (1, len(atoms), 3))
else:
crd = np.reshape(atoms.get_positions()[self.permutation[0, :]],
(1, len(atoms), 3))
sander.set_positions(crd)
e, f = sander.energy_forces()
self.results['energy'] = e.tot * units.kcal / units.mol
if self.permutation is None:
self.results['forces'] = (np.reshape(np.array(f),
(len(atoms), 3)) *
units.kcal / units.mol)
else:
ff = np.reshape(np.array(f), (len(atoms), 3)) * \
units.kcal / units.mol
self.results['forces'] = ff[self.permutation[1, :]]
def calculate(self, atoms, properties, system_changes):
Calculator.calculate(self, atoms, properties, system_changes)
if system_changes:
if 'energy' in self.results:
del self.results['energy']
if 'forces' in self.results:
del self.results['forces']
if 'energy' not in self.results:
if self.permutation is None:
crd = np.reshape(atoms.get_positions(), (1, len(atoms), 3))
else:
crd = np.reshape(atoms.get_positions()
[self.permutation[0, :]], (1, len(atoms), 3))
sander.set_positions(crd)
e, f = sander.energy_forces()
self.results['energy'] = e.tot * units.kcal / units.mol
if self.permutation is None:
self.results['forces'] = (np.reshape(np.array(f),
(len(atoms), 3)) *
units.kcal / units.mol)
else:
ff = np.reshape(np.array(f), (len(atoms), 3)) * \
units.kcal / units.mol
self.results['forces'] = ff[self.permutation[1, :]]
if 'forces' not in self.results:
if self.permutation is None:
crd = np.reshape(atoms.get_positions(), (1, len(atoms), 3))
else:
crd = np.reshape(atoms.get_positions()[self.permutation[0, :]],
(1, len(atoms), 3))
sander.set_positions(crd)
e, f = sander.energy_forces()
self.results['energy'] = e.tot * units.kcal / units.mol
if self.permutation is None:
self.results['forces'] = (np.reshape(np.array(f),
(len(atoms), 3)) *
units.kcal / units.mol)
else:
ff = np.reshape(np.array(f), (len(atoms), 3)) * \
units.kcal / units.mol
self.results['forces'] = ff[self.permutation[1, :]]
import numpy as np
import pytraj as pt
import sander
traj = pt.datafiles.load_tz2()
inp = sander.gas_input(8)
frcs = []
with sander.setup(traj.top.filename, traj[0].xyz, traj.top.box, inp):
for frame in traj:
sander.set_box(*frame.box.tolist())
sander.set_positions(frame.xyz)
ene, frc = sander.energy_forces()
frcs.append(np.array(frc).reshape(traj.n_atoms, 3))
def get_frame_with_force(traj, forces=frcs):
frame0 = pt.Frame()
crdinfo = dict(has_force=True)
frame0._allocate_force_and_velocity(traj.top, crdinfo)
for frame, frc in zip(traj, frcs):
frame0.xyz[:] = frame.xyz
frame0.force[:] = frc
yield frame0
pt.write_traj('traj.nc',
def energy_function(xyz):
sander.set_positions(xyz)
e, f = sander.energy_forces()
return e.tot, -np.array(f)
def energy_function(xyz):
sander.set_positions(xyz)
e, f = sander.energy_forces()
return e.tot, -np.array(f)
import pickle
base = '1nie'
# parm = AmberParm('4amber_%s.prmtop' %base) #topo
rst = Rst7.open('4amber_%s.rst7' %base) #box
coords1 = rst.coordinates
coords2 = np.around( np.array(pickle.load(open('tmp2','rb') ) ), 3) #2nd coordinate set
print coords1, coords1.shape
print coords2, coords2.shape
sander.setup('4amber_%s.prmtop' %base, rst.coordinates, rst.box, sander.pme_input())
ene, frc = sander.energy_forces()
print frc[0]
sander.set_positions(coords1)
ene, frc = sander.energy_forces()
print frc[0]
sander.set_positions(coords2)
ene, frc = sander.energy_forces()
print frc[0]
print max(frc)
print ene.tot, ene.elec, ene.vdw
# import code; code.interact(local=dict(globals(), **locals()))
import boost.python
sander.set_positions(rst.coordinates)
ene, frc = sander.energy_forces()
print frc[0]
base = '1nie'
# parm = AmberParm('4amber_%s.prmtop' %base) #topo
rst = Rst7.open('4amber_%s.rst7' % base) #box
coords1 = rst.coordinates
coords2 = np.around(np.array(pickle.load(open('tmp2', 'rb'))),
3) #2nd coordinate set
print coords1, coords1.shape
print coords2, coords2.shape
sander.setup('4amber_%s.prmtop' % base, rst.coordinates, rst.box,
sander.pme_input())
ene, frc = sander.energy_forces()
print frc[0]
sander.set_positions(coords1)
ene, frc = sander.energy_forces()
print frc[0]
sander.set_positions(coords2)
ene, frc = sander.energy_forces()
print frc[0]
print max(frc)
print ene.tot, ene.elec, ene.vdw
# import code; code.interact(local=dict(globals(), **locals()))
import boost.python
sander.set_positions(rst.coordinates)
ene, frc = sander.energy_forces()
print frc[0]
def energy_decomposition(traj=None,
prmtop=None,
igb=8,
mm_options=None,
qm_options=None,
mode=None,
dtype='dict',
frame_indices=None,
top=None):
"""energy decomposition by calling `libsander`
Parameters
----------
traj : Trajectory-like or iterables that produce Frame
if `traj` does not hold Topology information, `top` must be provided
prmtop : str or Structure from ParmEd, default=None, optional
To avoid any unexpected error, you should always provide original topology
filename. If prmtop is None, pytraj will load Topology from traj.top.filename.
- why do you need to load additional topology filename? Because cpptraj and sander
use different Topology object, can not convert from one to another.
igb : GB model, default=8 (GB-Neck2)
If specify `mm_options`, this `igb` input will be ignored
mm_options : InputOptions from `sander`, default=None, optional
if `mm_options` is None, use `gas_input` with given igb.
If `mm_options` is not None, use this
qm_options : InputOptions from `sander` for QMMM, optional
mode : str, default=None, optional
if mode='minimal', get only 'bond', 'angle', 'dihedral' and 'total' energies
top : pytraj.Topology or str, default=None, optional
only need to specify this ``top`` if ``traj`` does not hold Topology
dtype : str, {'dict', 'dataset', 'ndarray', 'dataframe'}, default='dict'
return data type
frame_indices : None or 1D array-like, default None
if not None, only perform calculation for given frames
Returns
-------
Dict of energies (to be used with DataFrame) or DatasetList
Examples
--------
Examples are adapted from $AMBERHOME/test/sanderapi
>>> import pytraj as pt
>>> # GB energy
>>> traj = pt.datafiles.load_ala3()
>>> traj.n_frames
1
>>> data = pt.energy_decomposition(traj, igb=8)
>>> data['gb']
array([-92.88577683])
>>> data['bond']
array([ 5.59350521])
>>> # PME
>>> import os
>>> from pytraj.testing import amberhome
>>> import sander
>>> topfile = os.path.join(amberhome, "test/4096wat/prmtop")
>>> rstfile = os.path.join(amberhome, "test/4096wat/eq1.x")
>>> traj = pt.iterload(rstfile, topfile)
>>> options = sander.pme_input()
>>> options.cut = 8.0
>>> edict = pt.energy_decomposition(traj=traj, mm_options=options)
>>> edict['vdw']
array([ 6028.95167558])
>>> # GB + QMMM
>>> topfile = os.path.join(amberhome, "test/qmmm2/lysine_PM3_qmgb2/prmtop")
>>> rstfile = os.path.join(amberhome, "test/qmmm2/lysine_PM3_qmgb2/lysine.crd")
>>> traj = pt.iterload(rstfile, topfile)
>>> options = sander.gas_input(8)
>>> options.cut = 99.0
>>> options.ifqnt = 1
>>> qm_options = sander.qm_input()
>>> qm_options.iqmatoms[:3] = [8, 9, 10]
>>> qm_options.qm_theory = "PM3"
>>> qm_options.qmcharge = 0
>>> qm_options.qmgb = 2
>>> qm_options.adjust_q = 0
>>> edict = pt.energy_decomposition(traj=traj, mm_options=options, qm_options=qm_options)
>>> edict['bond']
array([ 0.00160733])
>>> edict['scf']
array([-11.92177575])
Notes
-----
This method does not work with `pytraj.pmap` when you specify mm_options and
qm_options. Use `pytraj.pmap_mpi` with MPI instead.
Work with ``pytraj.pmap``::
pt.pmap(pt.energy_decomposition, traj, igb=8, dtype='dict')
Will NOT work with ``pytraj.pmap``::
import sander
inp = sander.gas_input(8)
pt.pmap(pt.energy_decomposition, traj, mm_options=inp, dtype='dict')
Why? Because Python need to pickle each object to send to different cores and Python
does not know how to pickle mm_options from sander.gas_input(8).
This works with ``pytraj.pmap_mpi`` because pytraj explicitly create ``mm_options``
in each core without pickling.
"""
from collections import defaultdict, OrderedDict
from pytraj.misc import get_atts
import numpy as np
try:
import sander
except ImportError:
raise ImportError("need both `pysander` installed. Check Ambertools15")
ddict = defaultdict(_default_func)
if mm_options is None:
inp = sander.gas_input(igb)
elif igb is not None:
inp = mm_options
if isinstance(inp, string_types):
# dangerous
local_dict = {'sander': sander}
exec(inp.lstrip(), local_dict)
inp = local_dict['mm_options']
if isinstance(qm_options, string_types):
# dangerous
local_dict = {'sander': sander}
exec(qm_options.lstrip(), local_dict)
qm_options = local_dict['qm_options']
if prmtop is None:
try:
# try to load from file by taking top.filename
prmtop_ = top.filename
except AttributeError:
raise ValueError("prmtop must be AmberParm object in ParmEd")
else:
# Structure, string
prmtop_ = prmtop
if not hasattr(prmtop_, 'coordinates') or prmtop_.coordinates is None:
try:
# if `traj` is Trajectory-like (not frame_iter), try to take 1st
# coords
coords = traj[0].xyz
except (TypeError, AttributeError):
# create fake list
coords = [0. for _ in range(top.n_atoms * 3)]
else:
# use default coords in `AmberParm`
coords = prmtop_.coordinates
if top.has_box():
box = top.box.tolist()
has_box = True
else:
box = None
has_box = False
with sander.setup(prmtop_, coords, box, inp, qm_options):
for frame in iterframe_master(traj):
if has_box:
sander.set_box(*frame.box.tolist())
sander.set_positions(frame.xyz)
ene, frc = sander.energy_forces()
# potentially slow
ene_atts = get_atts(ene)
for att in ene_atts:
ddict[att].append(getattr(ene, att))
new_dict = None
if mode == 'minimal':
new_dict = {}
for key in ['bond', 'angle', 'dihedral', 'tot']:
new_dict[key] = ddict[key]
else:
new_dict = ddict
for key in new_dict.keys():
new_dict[key] = np.asarray(new_dict[key])
if dtype == 'dict':
return OrderedDict(new_dict)
else:
from pytraj.datasets.c_datasetlist import DatasetList
dslist = DatasetList()
size = new_dict['tot'].__len__()
for key in new_dict.keys():
dslist.add('double')
dslist[-1].key = key
dslist[-1].resize(size)
dslist[-1].data[:] = new_dict[key]
return get_data_from_dtype(dslist, dtype)
#! /usr/bin/env python
import sander
from chemistry.amber.readparm import AmberParm, Rst7
from chemistry.structure import Structure, read_PDB, write_PDB
import numpy as np
parm = AmberParm('4amber_1cby.prmtop')
pdb = read_PDB('new.pdb')
rst = Rst7.open('4amber_1cby.rst7')
xyz = pdb.pdbxyz[0]
sander.setup(parm,xyz, rst.box, sander.pme_input())
sander.set_positions(xyz)
ene, frc = sander.energy_forces()
#~ import code; code.interact(local=dict(globals(), **locals()))
sander.cleanup()
