def _processSim(sim, projectionlist, uqmol, skip):
pieces = sim.trajectory
try:
if uqmol is not None:
mol = uqmol.copy()
else:
mol = Molecule(sim.molfile)
logger.debug(pieces[0])
mol.read(pieces, skip=skip)
#Gianni testing
#_highfreqFilter(mol,10)
data = []
for p in projectionlist:
pj = _project(p, mol)
if pj.ndim == 1:
pj = np.atleast_2d(pj).T
data.append(pj)
data = np.hstack(data)
if data.dtype == np.float64:
data = data.astype(np.float32)
except Exception as e:
logger.warning('Error in simulation with id: ' + str(sim.simid) +
'. "' + e.__str__() + '"')
return None, None, None, True
return data, _calcRef(pieces, mol.fileloc), mol.fstep, False
def getParameters(self, outdir="./", outname="mol"):
if not self.completed:
raise ValueError("Parameterization is not complete")
# look for the right files in the output directory
d = os.path.join(self.directory, "999-results")
rtf = os.path.join(d, "mol.rtf")
prm = os.path.join(d, "mol.prm")
xyz = os.path.join(d, "mol.xyz")
# pdb = os.path.join(d, "mol.pdb")
rtf_tmp = outdir + outname + ".rtf"
prm_tmp = outdir + outname + ".prm"
pdb_tmp = outdir + outname + ".pdb"
# xyz_tmp = tempfile.mkstemp(suffix=".xyz")
# os.close(rtf_tmp[0])
# os.close(prm_tmp[0])
# os.close(pdb_tmp[0])
# os.close(xyz_tmp[0])
shutil.copyfile(rtf, rtf_tmp)
shutil.copyfile(prm, prm_tmp)
# shutil.copyfile(xyz, xyz_tmp[1])
# The Output minimised structure is in XYZ format
# Need to turn it into a PDB with correct atom naming
mol = Molecule(xyz)
Parameterization._rename_mol(
mol) # Canonicalise atom and reside naming
mol.write(pdb_tmp)
return
def test_disulfideWithInsertion(self):
from htmd.molecule.molecule import Molecule
from htmd.builder.solvate import solvate
from htmd.home import home
from htmd.util import tempname, assertSameAsReferenceDir
import os
import numpy as np
# Use pre-prepared files so we can tell whether the error is in prepare or in build
# Inputs are reference outputs of proteinprepare.
preparedInputDir = home(dataDir='test-proteinprepare')
pdb = '3PTB'
print('Building {}'.format(pdb))
inFile = os.path.join(preparedInputDir, pdb,
"{}-prepared.pdb".format(pdb))
mol = Molecule(inFile)
mol.filter('protein') # Fix for bad proteinPrepare hydrogen placing
np.random.seed(1) # Needed for ions
smol = solvate(mol)
topos = ['top/top_all36_prot.rtf', 'top/top_water_ions.rtf']
params = ['par/par_all36_prot_mod.prm', 'par/par_water_ions.prm']
smol.insertion[
smol.resid ==
42] = 'A' # Adding an insertion to test that disulfide bonds with insertions work
tmpdir = tempname()
_ = build(smol, topo=topos, param=params, outdir=tmpdir)
compareDir = home(
dataDir=os.path.join('test-charmm-build', '3PTB_insertion'))
assertSameAsReferenceDir(compareDir, tmpdir)
def write(self, inputdir, outputdir):
""" Writes the production protocol and files into a folder.
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a equilibration process.
outputdir : str
Directory where to write the production setup files.
"""
self._findFiles(inputdir)
self._amberFixes()
self.acemd.temperature = str(self.temperature)
self.acemd.langevintemp = str(self.temperature)
if self.k > 0: #use TCL only for flatbottom
mol = Molecule(os.path.join(inputdir, self.acemd.coordinates))
self.acemd.tclforces = 'on'
TCL = self._TCL
TCL = TCL.replace('NUMSTEPS', str(self.numsteps))
TCL = TCL.replace('KCONST', str(self.k))
TCL = TCL.replace('REFINDEX', ' '.join(map(str, mol.get('index', self.reference))))
TCL = TCL.replace('SELINDEX', ' '.join(map(str, mol.get('index', self.selection))))
TCL = TCL.replace('BOX', ' '.join(map(str, self.box)))
self.acemd.TCL = TCL
else:
self.acemd.TCL = 'set numsteps {}\n'.format(self.numsteps)
self.acemd.setup(inputdir, outputdir, overwrite=True)
def write(self, inputdir, outputdir):
""" Writes the production protocol and files into a folder.
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a equilibration process.
outputdir : str
Directory where to write the production setup files.
"""
self._findFiles(inputdir)
self._amberFixes()
self.acemd.temperature = str(self.temperature)
self.acemd.langevintemp = str(self.temperature)
if self.k > 0: #use TCL only for flatbottom
mol = Molecule(os.path.join(inputdir, self.acemd.coordinates))
self.acemd.tclforces = 'on'
TCL = self._TCL
TCL = TCL.replace('KCONST', str(self.k))
TCL = TCL.replace('REFINDEX', ' '.join(map(str, mol.get('index', self.reference))))
TCL = TCL.replace('SELINDEX', ' '.join(map(str, mol.get('index', self.selection))))
TCL = TCL.replace('BOX', ' '.join(map(str, self.box)))
self.acemd.TCL = TCL
else:
self.acemd.TCL = ''
self.acemd.setup(inputdir, outputdir, overwrite=True)
def write(self, inputdir, outputdir):
""" Writes the production protocol and files into a folder.
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a equilibration process.
outputdir : str
Directory where to write the production setup files.
"""
self._findFiles(inputdir)
self._amberFixes()
from htmd.units import convert
numsteps = convert(self.timeunits, 'timesteps', self.runtime, timestep=self.acemd.timestep)
self.acemd.temperature = str(self.temperature)
self.acemd.langevintemp = str(self.temperature)
if self.fb_k > 0: #use TCL only for flatbottom
mol = Molecule(os.path.join(inputdir, self.acemd.coordinates))
self.acemd.tclforces = 'on'
tcl = list(self.acemd.TCL)
tcl[0] = tcl[0].format(NUMSTEPS=numsteps, KCONST=self.fb_k,
REFINDEX=' '.join(map(str, mol.get('index', self.fb_reference))),
SELINDEX=' '.join(map(str, mol.get('index', self.fb_selection))),
BOX=' '.join(map(str, self.fb_box)))
self.acemd.TCL = tcl[0] + tcl[1]
else:
self.acemd.TCL = 'set numsteps {}\n'.format(numsteps)
self.acemd.setup(inputdir, outputdir, overwrite=True)
def testProteinLigand(self):
from htmd.builder.solvate import solvate
from htmd.parameterization.fftype import fftype, FFTypeMethod
from htmd.parameterization.writers import writeFRCMOD
# Test protein ligand building with parametrized ligand
refdir = home(dataDir=join('test-amber-build', 'protLig'))
tmpdir = os.path.join(self.testDir, 'protLig')
os.makedirs(tmpdir)
mol = Molecule(join(refdir, '3ptb_mod.pdb'))
lig = Molecule(join(refdir, 'benzamidine.pdb'), guess=('bonds', 'angles', 'dihedrals'))
prm, lig = fftype(lig, method=FFTypeMethod.GAFF2)
writeFRCMOD(lig, prm, join(tmpdir, 'mol.frcmod'))
lig.segid[:] = 'L'
# params =
newmol = Molecule()
newmol.append(lig)
newmol.append(mol)
smol = solvate(newmol)
params = defaultParam() + [join(tmpdir, 'mol.frcmod'),]
_ = build(smol, outdir=tmpdir, param=params, ionize=False)
refdir = home(dataDir=join('test-amber-build', 'protLig', 'results'))
TestAmberBuild._compareResultFolders(refdir, tmpdir, '3PTB')
def test_build(self):
from htmd.molecule.molecule import Molecule
from htmd.builder.solvate import solvate
from htmd.home import home
from htmd.util import tempname, assertSameAsReferenceDir
import os
import numpy as np
# Use pre-prepared files so we can tell whether the error is in prepare or in build
# Inputs are reference outputs of proteinprepare.
preparedInputDir = home(dataDir='test-proteinprepare')
pdbids = ['3PTB', '1A25', '1GZM', '1U5U']
for pdb in pdbids:
with self.subTest(pdb=pdb):
print('Building {}'.format(pdb))
inFile = os.path.join(preparedInputDir, pdb,
"{}-prepared.pdb".format(pdb))
mol = Molecule(inFile)
mol.filter(
'protein') # Fix for bad proteinPrepare hydrogen placing
np.random.seed(1) # Needed for ions
smol = solvate(mol)
topos = ['top/top_all36_prot.rtf', 'top/top_water_ions.rtf']
params = [
'par/par_all36_prot_mod.prm', 'par/par_water_ions.prm'
]
tmpdir = tempname()
_ = build(smol, topo=topos, param=params, outdir=tmpdir)
compareDir = home(
dataDir=os.path.join('test-charmm-build', pdb))
assertSameAsReferenceDir(compareDir, tmpdir)
def _processSim(sim, projectionlist, uqmol, skip):
pieces = sim.trajectory
try:
if uqmol is not None:
mol = uqmol.copy()
else:
mol = Molecule(sim.molfile)
logger.debug(pieces[0])
mol.read(pieces, skip=skip)
#Gianni testing
#_highfreqFilter(mol,10)
data = []
for p in projectionlist:
pj = _project(p, mol)
if pj.ndim == 1:
pj = np.atleast_2d(pj).T
data.append(pj)
data = np.hstack(data)
if data.dtype == np.float64:
data = data.astype(np.float32)
except Exception as e:
logger.warning('Error in simulation with id: ' + str(sim.simid) + '. "' + e.__str__() + '"')
return None, None, None, True
return data, _calcRef(pieces, mol.fileloc), mol.fstep, False
def _fb_potential2restraints(self, inputdir):
from htmd.molecule.molecule import Molecule
restraints = list()
fb_box = np.array(self.fb_box)
# convert fb_box to width
width = list(
np.concatenate(
np.diff(np.array([fb_box[::2], fb_box[1::2]]), axis=0)))
# If fb_box is not symmetrical
if not np.all(fb_box[::2] == -fb_box[1::2]):
# convert fb_box and fb_reference to fbcentre and width
mol = Molecule(os.path.join(inputdir, self.acemd.structure))
mol.read(os.path.join(inputdir, self.acemd.coordinates))
fb_refcentre = mol.get(
'coords', sel=self.fb_reference).mean(axis=0).squeeze()
fbcentre = list(
np.around(
np.mean(np.array([fb_box[::2], fb_box[1::2]]), axis=0) +
fb_refcentre, 3))
restraints.append(
GroupRestraint(self.fb_selection,
width, [(self.fb_k, 0)],
fbcentre=fbcentre))
else:
restraints.append(
GroupRestraint(self.fb_selection,
width, [(self.fb_k, 0)],
fbcentresel=self.fb_reference))
return restraints
def _prep_and_run(self, mol, rtf, prm, outdir, solvated):
from htmd.builder.solvate import solvate
from htmd.apps.acemdlocal import AcemdLocal
# Do a simple solvation then run for 50ns
ionize = True
mol = Molecule(mol)
mol.center()
mol.set("segid", "L")
d = maxDistance(mol, 'all') + 6
if solvated:
mol = solvate(mol, minmax=[[-d, -d, -d], [d, d, d]])
if not solvated:
ionize = False
build_dir = os.path.join(outdir, "build")
equil_dir = os.path.join(outdir, "equil")
rtfs = ['top/top_water_ions.rtf', rtf]
prms = ['par/par_water_ions.prm', prm]
charmm.build(mol, topo=rtfs, param=prms, outdir=build_dir, ionize=ionize)
md = Equilibration()
md.runtime = 50
md.timeunits = 'ns'
md.temperature = 300
md.write(build_dir, equil_dir)
mdx = AcemdLocal()
mdx.submit(equil_dir)
mdx.wait()
def test_disulfideWithInsertion(self):
from htmd.molecule.molecule import Molecule
from htmd.builder.solvate import solvate
from htmd.home import home
from htmd.util import tempname, assertSameAsReferenceDir
import os
import numpy as np
# Use pre-prepared files so we can tell whether the error is in prepare or in build
# Inputs are reference outputs of proteinprepare.
preparedInputDir = home(dataDir='test-proteinprepare')
pdb = '3PTB'
print('Building {}'.format(pdb))
inFile = os.path.join(preparedInputDir, pdb, "{}-prepared.pdb".format(pdb))
mol = Molecule(inFile)
mol.filter('protein') # Fix for bad proteinPrepare hydrogen placing
np.random.seed(1) # Needed for ions
smol = solvate(mol)
topos = ['top/top_all36_prot.rtf', 'top/top_water_ions.rtf']
params = ['par/par_all36_prot_mod.prm', 'par/par_water_ions.prm']
smol.insertion[smol.resid == 42] = 'A' # Adding an insertion to test that disulfide bonds with insertions work
tmpdir = tempname()
_ = build(smol, topo=topos, param=params, outdir=tmpdir)
compareDir = home(dataDir=os.path.join('test-charmm-build', '3PTB_insertion'))
assertSameAsReferenceDir(compareDir, tmpdir)
def calc_kinetics(self, source=None):
"""Calculates kinetics rates for the model
Calculates all kinetics parameters starting from
one source state to all other possible sinks
Parameters
----------
source : int | optional
Macrostate to be used as a source state.
Returns
-------
pandas.DataFrame
Dataframe containing value for mfpton, mfptoff, kon, koff, kdeq and g0eq
from a source macro to each other macrostate
"""
import pandas as pd
import numpy as np
from moleculekit.molecule import Molecule
from htmd.kinetics import Kinetics
columns = ['path', 'mfpton', 'mfptoff', 'kon', 'koff', 'kdeq', 'g0eq']
kin_summary = pd.DataFrame(columns=columns)
#Will store strings of scientific notations (to be displayed in html)
str_kin_summary = pd.DataFrame(columns=columns)
if (self.bulk_split and not source):
source = self.model.macronum - 1
if not self.concentration:
try:
from glob import glob
gen_folder = glob(f"{self.input_folder}/generators/*/")[0]
tmp_mol = Molecule(f"{gen_folder}/structure.pdb")
tmp_mol.read(f"{gen_folder}/structure.psf")
self.concentration = 55.55 / np.sum(tmp_mol.resname == "TIP3") / 3
except:
self.concentration = 0
if self.concentration:
for i in range(self.model.macronum):
for j in range(self.model.macronum):
kin = Kinetics(self.model, self.temperature, concentration=self.concentration,
source=i, sink=j)
kin_rates = kin.getRates()
source = kin.source
row = kin_rates.__dict__.copy()
row['path'] = f'{source}-->{i}'
kin_summary = kin_summary.append(row, ignore_index=True)
#Creating values with string of scientific notation
str_row = { col: "{:.2E}".format(row[col]) for col in columns if col is not 'path' }
str_row['path'] = f'{i}-->{j}'
str_kin_summary = str_kin_summary.append(str_row, ignore_index=True)
str_kin_summary.to_json(f'{self.out_folder}/kin.json', orient='split', index=False)
return kin_summary
def _singleMolfile(sims):
from htmd.molecule.molecule import mol_equal
from htmd.util import ensurelist
if isinstance(sims, Molecule):
return False, []
elif isinstance(sims, np.ndarray):
molfiles = []
for s in sims:
molfiles.append(tuple(ensurelist(s.molfile)))
uqmolfiles = list(set(molfiles))
if len(uqmolfiles) == 0:
raise RuntimeError('No molfiles found in simlist')
elif len(uqmolfiles) == 1:
return True, uqmolfiles[0]
elif len(
uqmolfiles
) > 1: # If more than one molfile load them and see if they are different Molecules
ref = Molecule(uqmolfiles[0], _logger=False)
for i in range(1, len(uqmolfiles)):
mol = Molecule(uqmolfiles[i], _logger=False)
if not mol_equal(ref, mol, exceptFields=['coords']):
return False, []
return True, uqmolfiles[0]
return False, []
def test_build(self):
from htmd.molecule.molecule import Molecule
from htmd.builder.solvate import solvate
from htmd.home import home
from htmd.util import tempname, assertSameAsReferenceDir
import os
import numpy as np
# Use pre-prepared files so we can tell whether the error is in prepare or in build
# Inputs are reference outputs of proteinprepare.
preparedInputDir = home(dataDir='test-proteinprepare')
pdbids = ['3PTB', '1A25', '1GZM', '1U5U']
for pdb in pdbids:
with self.subTest(pdb=pdb):
print('Building {}'.format(pdb))
inFile = os.path.join(preparedInputDir, pdb, "{}-prepared.pdb".format(pdb))
mol = Molecule(inFile)
mol.filter('protein') # Fix for bad proteinPrepare hydrogen placing
np.random.seed(1) # Needed for ions
smol = solvate(mol)
topos = ['top/top_all36_prot.rtf', 'top/top_water_ions.rtf']
params = ['par/par_all36_prot_mod.prm', 'par/par_water_ions.prm']
tmpdir = tempname()
_ = build(smol, topo=topos, param=params, outdir=tmpdir)
compareDir = home(dataDir=os.path.join('test-charmm-build', pdb))
assertSameAsReferenceDir(compareDir, tmpdir)
def write(self, inputdir, outputdir):
""" Writes the production protocol and files into a folder.
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a equilibration process.
outputdir : str
Directory where to write the production setup files.
"""
self._findFiles(inputdir)
self._amberFixes()
from htmd.units import convert
numsteps = convert(self.timeunits, 'timesteps', self.runtime, timestep=self.acemd.timestep)
self.acemd.temperature = str(self.temperature)
self.acemd.langevintemp = str(self.temperature)
if self.fb_k > 0: #use TCL only for flatbottom
mol = Molecule(os.path.join(inputdir, self.acemd.coordinates))
self.acemd.tclforces = 'on'
tcl = list(self.acemd.TCL)
tcl[0] = tcl[0].format(NUMSTEPS=numsteps, KCONST=self.fb_k,
REFINDEX=' '.join(map(str, mol.get('index', self.fb_reference))),
SELINDEX=' '.join(map(str, mol.get('index', self.fb_selection))),
BOX=' '.join(map(str, self.fb_box)))
self.acemd.TCL = tcl[0] + tcl[1]
else:
self.acemd.TCL = 'set numsteps {}\n'.format(numsteps)
self.acemd.setup(inputdir, outputdir, overwrite=True)
def _filterTopology(sim, outfolder, filtsel):
from htmd.util import ensurelist
try:
from htmd.molecule.molecule import Molecule
mol = Molecule(sim.molfile)
except IOError as e:
raise RuntimeError(
'simFilter: {}. Cannot read topology file {}'.format(
e, sim.molfile))
if mol.coords.size == 0: # If we read for example psf or prmtop which have no coords, just add 0s everywhere
mol.coords = np.zeros((mol.numAtoms, 3, 1), dtype=np.float32)
extensions = [
'pdb',
] # Adding pdb to make sure it's always written
for m in ensurelist(sim.molfile):
extensions.append(os.path.splitext(m)[1][1:])
for ext in list(set(extensions)):
filttopo = path.join(outfolder, 'filtered.{}'.format(ext))
if not path.isfile(filttopo):
try:
mol.write(filttopo, filtsel)
except Exception as e:
logger.warning(
'Filtering was not able to write {} due to error: {}'.
format(filttopo, e))
def test_customDisulfideBonds(self):
from htmd.builder.solvate import solvate
# Test without proteinPrepare
pdbids = [
'1GZM',
]
for pid in pdbids:
np.random.seed(1)
mol = Molecule(pid)
mol.filter('protein')
smol = solvate(mol)
ffs = defaultFf()
disu = [['segid 1 and resid 110', 'segid 1 and resid 187'],
['segid 0 and resid 110', 'segid 0 and resid 187']]
tmpdir = os.path.join(self.testDir, 'withoutProtPrep', pid)
_ = build(smol, ff=ffs, outdir=tmpdir, disulfide=disu)
refdir = home(dataDir=join('test-amber-build', 'nopp', pid))
TestAmberBuild._compareResultFolders(refdir, tmpdir, pid)
np.random.seed(1)
tmpdir = os.path.join(self.testDir, 'withoutProtPrep', pid)
_ = build(smol, ff=ffs, outdir=tmpdir)
refdir = home(dataDir=join('test-amber-build', 'nopp', pid))
TestAmberBuild._compareResultFolders(refdir, tmpdir, pid)
def write(self, inputdir=None, outputdir=None):
""" Writes the production protocol and files into a folder.
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a equilibration process.
outputdir : str
Directory where to write the production setup files.
"""
if inputdir is not None:
self.inputdir = inputdir
if outputdir is not None:
self.outputdir = outputdir
self.acemd.temperature = self.temperature
self.acemd.langevintemp = self.temperature
if self.k > 0: #use TCL only for flatbottom
mol = Molecule(os.path.join(self.inputdir, self.acemd.coordinates))
self.acemd.tclforces = 'on'
TCL = self._TCL
TCL = TCL.replace('KCONST', str(self.k))
TCL = TCL.replace(
'REFINDEX', ' '.join(map(str, mol.get('index',
self.reference))))
TCL = TCL.replace(
'SELINDEX', ' '.join(map(str, mol.get('index',
self.selection))))
TCL = TCL.replace('BOX', ' '.join(map(str, self.box)))
self.acemd.TCL = TCL
self.acemd.setup(self.inputdir, self.outputdir, overwrite=True)
def _filterPDBPSF(sim, outfolder, filtsel):
try:
mol = Molecule(sim.molfile)
except IOError as e:
raise NameError('simFilter: ' + e.strerror + ' Cannot create filtered.pdb due to problematic pdb: ' + sim.molfile)
if not path.isfile(path.join(outfolder, 'filtered.pdb')):
mol.write(path.join(outfolder, 'filtered.pdb'), filtsel)
def __init__(self, sims, sel, simple):
self._pc_sel = None
self._sel = sel
self._simple = simple
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_sel = mol.atomselect(sel)
def __init__(self, sims, sel, simple):
self._pc_sel = None
self._sel = sel
self._simple = simple
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_sel = mol.atomselect(sel)
def setUp(self):
molFile = os.path.join(home('test-qm'), 'H2-0.74.mol2')
self.h2_074 = Molecule(molFile)
molFile = os.path.join(home('test-qm'), 'H2-1.00.mol2')
self.h2_100 = Molecule(molFile)
molFile = os.path.join(home('test-qm'), 'H2O2-90.mol2')
self.h2o2_90 = Molecule(molFile)
def __init__(self, sims, protsel, dih=None, sincos=True):
self._protsel = protsel
self._sincos = sincos
self._dih = dih # TODO: Calculate the dihedral
self._pc_dih = None
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_dih = self._dihedralPrecalc(mol, mol.atomselect(protsel))
def _filterPDBPSF(sim, outfolder, filtsel):
try:
mol = Molecule(sim.molfile)
except IOError as e:
raise NameError('simFilter: {}. Cannot create filtered.pdb due to problematic pdb: {}'.format(e, sim.molfile))
if not path.isfile(path.join(outfolder, 'filtered.pdb')):
if mol.coords.size == 0: # If we read for example psf or prmtop which have no coords, just add 0s everywhere
mol.coords = np.zeros((mol.numAtoms, 3, 1), dtype=np.float32)
mol.write(path.join(outfolder, 'filtered.pdb'), filtsel)
def __init__(self, sims, protsel, dih=None, sincos=True):
self._protsel = protsel
self._sincos = sincos
self._dih = dih # TODO: Calculate the dihedral
self._pc_dih = None
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_dih = self._dihedralPrecalc(mol, mol.atomselect(protsel))
def listDihedrals(filename):
# This routine gets the names of the atoms in the soft dihedrals
# It's so horrible, since we have to jump through hoops to
# set up the input for gen_soft_list
ll1 = []
ll2 = []
env = Parameterization._preflight_test(None)
mol = Molecule(filename)
mol = Parameterization._rename_mol(mol)
mol.bonds = mol._guessBonds()
# make a tempdir
with tempfile.TemporaryDirectory() as td:
# td=tempfile.mkdtemp()
# print(td)
pwd = os.getcwd()
os.chdir(td)
f = open("mol.prm", "w")
f.close()
mol.write("mol.pdb")
mol.write("mol-opt.xyz")
mol.write("mol.xpsf", type="psf")
for charge in range(-1, 2):
subprocess.check_output([
env['BIN_MATCH'], "-charge",
str(charge), "-forcefield", "top_all36_cgenff_new",
"mol.pdb"
],
stderr=subprocess.STDOUT,
shell=False,
stdin=None)
subprocess.check_output(
[env['BIN_GEN_XPSF'], "mol.rtf", "mol.xpsf", "MOL"],
stderr=subprocess.STDOUT,
shell=False,
stdin=None)
subprocess.check_output([env['BIN_GEN_SOFT_LIST']],
stderr=subprocess.STDOUT,
shell=False,
stdin=None)
f = open("soft-dih-list.txt", "r")
ff = f.readlines()
for l in ff:
ss = []
tt = []
for m in l.split():
tt.append(int(m))
ss.append(mol.name[int(m) - 1].strip().upper())
ll1.append(tt)
ll2.append(ss)
f.close()
os.chdir(pwd)
return ll1, ll2
def setUpClass(self):
from htmd.molecule.molecule import Molecule
from os import path
self.mol = Molecule(
path.join(home(), 'data', 'metricdistance', 'filtered.pdb'))
self.mol_skipped = self.mol.copy()
self.mol.read(path.join(home(), 'data', 'metricdistance', 'traj.xtc'))
self.mol_skipped.read(path.join(home(), 'data', 'metricdistance',
'traj.xtc'),
skip=10)
def _loadMolecules(lipids, files):
from htmd.rotationmatrix import rotationMatrix
# Create Molecules
for l in lipids:
randidx = np.random.randint(len(files[l.resname]))
mol = Molecule(files[l.resname][randidx])
mol.filter('not water', _logger=False)
if l.xyz[2] < 0:
mol.rotateBy(rotationMatrix([1, 0, 0], np.deg2rad(180))) # Rotate the lower leaflet lipids upside down
l.mol = mol
l.rot = np.random.random() * 360 - 180 # Random starting rotation
def _filterPDBPSF(sim, outfolder, filtsel):
try:
mol = Molecule(sim.molfile)
except IOError as e:
raise NameError(
'simFilter: ' + e.strerror +
' Cannot create filtered.pdb due to problematic pdb: ' +
sim.molfile)
if not path.isfile(path.join(outfolder, 'filtered.pdb')):
mol.write(path.join(outfolder, 'filtered.pdb'), filtsel)
def write(self, inputdir, outputdir):
""" Write the equilibration protocol
Writes the equilibration protocol and files into a folder for execution
using files inside the inputdir directory
Parameters
----------
inputdir : str
Path to a directory containing the files produced by a build process.
outputdir : str
Directory where to write the equilibration setup files.
Examples
--------
>>> md = Equilibration()
>>> md.write('./build','./equil')
"""
self._findFiles(inputdir)
self._amberFixes()
from htmd.units import convert
numsteps = convert(self.timeunits, 'timesteps', self.runtime, timestep=self.acemd.timestep)
self.acemd.temperature = self.temperature
self.acemd.thermostattemp = self.temperature
self.acemd.run = str(numsteps)
if self.constraintsteps is None:
constrsteps = int(numsteps / 2)
else:
constrsteps = int(self.constraintsteps)
# Adding the default restraints of the equilibration
restraints = list()
restraints.append(AtomRestraint('protein and noh and not name CA', 0, [(0.1, 0), (0, constrsteps)]))
restraints.append(AtomRestraint('protein and name CA', 0, [(1, 0), (0, constrsteps)]))
if self.restraints is not None:
restraints += self.restraints
self.acemd.restraints = restraints
if self.acemd.celldimension is None and self.acemd.extendedsystem is None:
inmol = Molecule(os.path.join(inputdir, self.acemd.coordinates))
coords = inmol.get('coords', sel='water')
if coords.size == 0: # It's a vacuum simulation
coords = inmol.get('coords', sel='all')
dim = np.max(coords, axis=0) - np.min(coords, axis=0)
dim = dim + 12.
else:
dim = np.max(coords, axis=0) - np.min(coords, axis=0)
self.acemd.celldimension = '{} {} {}'.format(dim[0], dim[1], dim[2])
if self.useconstantratio:
self.acemd.useconstantratio = 'on'
self.acemd.setup(inputdir, outputdir, overwrite=True)
def tileMembrane(memb, xmin, ymin, xmax, ymax, buffer=1.5):
""" Tile a membrane in the X and Y dimensions to reach a specific size.
Parameters
----------
memb
xmin
ymin
xmax
ymax
buffer
Returns
-------
megamemb :
A big membrane Molecule
"""
from htmd.progress.progress import ProgressBar
memb = memb.copy()
memb.resid = sequenceID(memb.resid)
minmemb = np.min(memb.get('coords', 'water'), axis=0).flatten()
size = np.max(memb.get('coords', 'water'), axis=0) - np.min(memb.get('coords', 'water'), axis=0)
size = size.flatten()
xreps = int(np.ceil((xmax - xmin) / size[0]))
yreps = int(np.ceil((ymax - ymin) / size[1]))
logger.info('Replicating Membrane {}x{}'.format(xreps, yreps))
from htmd.molecule.molecule import Molecule
megamemb = Molecule()
bar = ProgressBar(xreps * yreps, description='Replicating Membrane')
k = 0
for x in range(xreps):
for y in range(yreps):
tmpmemb = memb.copy()
xpos = xmin + x * (size[0] + buffer)
ypos = ymin + y * (size[1] + buffer)
tmpmemb.moveBy([-float(minmemb[0]) + xpos, -float(minmemb[1]) + ypos, 0])
tmpmemb.remove('same resid as (x > {} or y > {})'.format(xmax, ymax), _logger=False)
tmpmemb.set('segid', 'M{}'.format(k))
megamemb.append(tmpmemb)
k += 1
bar.progress()
bar.stop()
# Membranes don't tile perfectly. Need to remove waters that clash with lipids of other tiles
# Some clashes will still occur between periodic images however
megamemb.remove('same fragment as water and within 1.5 of not water', _logger=False)
return megamemb
def opm(pdb):
"""Download a molecule from the OPM.
Removes DUM atoms.
Parameters
----------
pdb: str
The 4-letter PDB code
Returns
-------
mol: Molecule
The oriented molecule
thickness: float
The bilayer thickness (both layers)
Examples
--------
>>> mol, thickness = opm("1z98")
>>> mol.numAtoms
7902
>>> thickness
28.2
"""
from htmd.molecule.support import string_to_tempfile
from htmd.molecule.molecule import Molecule
# http://opm.phar.umich.edu/pdb/1z98.pdb
r = requests.get("http://opm.phar.umich.edu/pdb/{:s}.pdb".format(
pdb.lower()))
if r.status_code != 200:
raise NameError('PDB code not found in the OPM database')
tempfile = string_to_tempfile(r.content.decode('ascii'), "pdb")
mol = Molecule(tempfile)
mol.filter("not resname DUM")
# Assuming the half-thickness is the last word in the first line
# REMARK 1/2 of bilayer thickness: 14.1
f = open(tempfile)
h = f.readline()
f.close()
os.unlink(tempfile)
hs = h.split()
thickness = 2.0 * float(hs[-1])
return mol, thickness
def test_maximalSubstructureAlignment(self):
from htmd.home import home
from htmd.molecule.molecule import Molecule
path = home(dataDir='test-molecule-graphalignment')
ref_lig = Molecule(os.path.join(path, 'ref_lig.pdb'))
lig2align = Molecule(os.path.join(path, 'lig2align.pdb'))
lig_aligned = maximalSubstructureAlignment(ref_lig, lig2align)
lig_reference = Molecule(os.path.join(path, 'lig_aligned.pdb'))
self.assertTrue(
np.allclose(lig_aligned.coords, lig_reference.coords, rtol=1e-4),
'maximalSubstructureAlignment produced different coords')
def opm(pdb):
"""Download a molecule from the OPM.
Removes DUM atoms.
Parameters
----------
pdb: str
The 4-letter PDB code
Returns
-------
mol: Molecule
The oriented molecule
thickness: float
The bilayer thickness (both layers)
Examples
--------
>>> mol, thickness = opm("1z98")
>>> mol.numAtoms
7902
>>> thickness
28.2
"""
from htmd.molecule.support import string_to_tempfile
from htmd.molecule.molecule import Molecule
# http://opm.phar.umich.edu/pdb/1z98.pdb
r = requests.get("http://opm.phar.umich.edu/pdb/{:s}.pdb".format(pdb.lower()))
if r.status_code != 200:
raise NameError('PDB code not found in the OPM database')
tempfile = string_to_tempfile(r.content.decode('ascii'), "pdb")
mol = Molecule(tempfile)
mol.filter("not resname DUM")
# Assuming the half-thickness is the last word in the first line
# REMARK 1/2 of bilayer thickness: 14.1
f = open(tempfile)
h = f.readline()
f.close()
os.unlink(tempfile)
hs = h.split()
thickness = 2.0 * float(hs[-1])
return mol, thickness
def testProteinLigand(self):
from htmd.builder.solvate import solvate
from htmd.parameterization.fftype import fftype, FFTypeMethod
from htmd.parameterization.writers import writeFRCMOD
# Test protein ligand building with parametrized ligand
refdir = home(dataDir=join('test-amber-build', 'protLig'))
tmpdir = os.path.join(self.testDir, 'protLig')
os.makedirs(tmpdir)
mol = Molecule(join(refdir, '3ptb_mod.pdb'))
lig = Molecule(join(refdir, 'benzamidine.pdb'),
guess=('bonds', 'angles', 'dihedrals'))
prm, lig = fftype(lig, method=FFTypeMethod.GAFF2)
writeFRCMOD(lig, prm, join(tmpdir, 'mol.frcmod'))
lig.segid[:] = 'L'
# params =
newmol = Molecule()
newmol.append(lig)
newmol.append(mol)
smol = solvate(newmol)
params = defaultParam() + [
join(tmpdir, 'mol.frcmod'),
]
_ = build(smol, outdir=tmpdir, param=params, ionize=False)
refdir = home(dataDir=join('test-amber-build', 'protLig', 'results'))
TestAmberBuild._compareResultFolders(refdir, tmpdir, '3PTB')
def test_customDisulfideBonds(self):
from htmd.molecule.molecule import Molecule
from htmd.builder.solvate import solvate
from htmd.home import home
from htmd.util import tempname, assertSameAsReferenceDir
import os
import numpy as np
# Use pre-prepared files so we can tell whether the error is in prepare or in build
# Inputs are reference outputs of proteinprepare.
preparedInputDir = home(dataDir='test-proteinprepare')
pdb = '1GZM'
inFile = os.path.join(preparedInputDir, pdb,
"{}-prepared.pdb".format(pdb))
mol = Molecule(inFile)
mol.filter('protein') # Fix for bad proteinPrepare hydrogen placing
np.random.seed(1) # Needed for ions
smol = solvate(mol)
topos = ['top/top_all36_prot.rtf', 'top/top_water_ions.rtf']
params = ['par/par_all36_prot_mod.prm', 'par/par_water_ions.prm']
disu = [['segid 1 and resid 110', 'segid 1 and resid 187'],
['segid 0 and resid 110', 'segid 0 and resid 187']]
tmpdir = tempname()
_ = build(smol,
topo=topos,
param=params,
outdir=tmpdir,
disulfide=disu)
compareDir = home(dataDir=os.path.join('test-charmm-build', pdb))
assertSameAsReferenceDir(compareDir, tmpdir)
# TODO: Remove this after deprecation
from htmd.builder.builder import DisulfideBridge
np.random.seed(1) # Needed for ions
disu = [
DisulfideBridge('1', 110, '1', 187),
DisulfideBridge('0', 110, '0', 187)
]
tmpdir = tempname()
_ = build(smol,
topo=topos,
param=params,
outdir=tmpdir,
disulfide=disu)
compareDir = home(dataDir=os.path.join('test-charmm-build', pdb))
assertSameAsReferenceDir(compareDir, tmpdir)
def test_equilibration(self):
from htmd.home import home
import filecmp
from htmd.util import tempname
from glob import glob
from htmd.molecule.molecule import Molecule
tmpdir = tempname()
pdbid = '3PTB'
builddir = home(dataDir=os.path.join('test-acemd', pdbid, 'build'))
equil = Acemd('equilibration')
mol = Molecule(os.path.join(builddir, 'structure.pdb'))
celldim = mol.coords.max(axis=0) - mol.coords.min(axis=0)
equil.celldimension = ' '.join(
['{:3.1f}'.format(val) for val in celldim.squeeze()])
equil.run = '2000'
equil.trajectoryfreq = 200
equil.temperature = 300
equil.write(builddir, tmpdir)
# Compare with reference
refdir = home(dataDir=os.path.join('test-acemd', pdbid, 'equil'))
files = [os.path.basename(f) for f in glob(os.path.join(refdir, '*'))]
match, mismatch, error = filecmp.cmpfiles(refdir,
tmpdir,
files,
shallow=False)
if len(mismatch) != 0 or len(error) != 0 or len(match) != len(files):
raise RuntimeError(
'Different results produced by Acemd equilibration for '
'test {} between {} and {} in files {}.'.format(
pdbid, refdir, tmpdir, mismatch))
def _createLipids(lipidratio, area, lipiddb, files, leaflet=None):
lipiddb = lipiddb.to_dict(orient='index')
lipidnames = list(lipidratio.keys())
ratiosAPL = np.array(
[lipidratio[lipn] * lipiddb[lipn]['APL'] for lipn in lipidnames])
# Calculate the total areas per lipid type
areaspl = area * (ratiosAPL / ratiosAPL.sum())
# Calculate the counts from the total areas
counts = np.round(areaspl /
np.array([lipiddb[lipn]['APL']
for lipn in lipidnames])).astype(int)
lipids = []
for i in range(len(lipidnames)):
resname = lipidnames[i]
rings = _detectRings(Molecule(files[resname][0]))
for k in range(counts[i]):
if leaflet == 'upper':
xyz = np.array(
[np.nan, np.nan, lipiddb[resname]['Thickness'] / 2])
elif leaflet == 'lower':
xyz = np.array(
[np.nan, np.nan, -lipiddb[resname]['Thickness'] / 2])
lipids.append(
_Lipid(resname=resname,
headname=lipiddb[resname]['Head'],
rings=rings,
area=lipiddb[resname]['APL'],
xyz=xyz))
return lipids
def testWithoutProteinPrepare(self):
from htmd.builder.solvate import solvate
# Test without proteinPrepare
pdbids = ['3PTB']
# pdbids = ['3PTB', '1A25', '1GZM', '1U5U']
for pid in pdbids:
np.random.seed(1)
mol = Molecule(pid)
mol.filter('protein')
smol = solvate(mol)
ffs = defaultFf()
tmpdir = os.path.join(self.testDir, 'withoutProtPrep', pid)
_ = build(smol, ff=ffs, outdir=tmpdir)
refdir = home(dataDir=join('test-amber-build', 'nopp', pid))
TestAmberBuild._compareResultFolders(refdir, tmpdir, pid)
def handle_model(self):
"""Creates a model is model is not set. Loads a model from a string. Or assign a model to self.model.out_folder
Calling this function results in self.model to be and htmd.model.Model class
"""
from htmd.model import Model
from htmd.molecule.molecule import Molecule
if not self.model:
from IDP_htmd.IDP_analysis import analyze_folder
print("Creating new analysis")
self.write_parameters()
self.model = analyze_folder(self.input_folder, self.out_folder, self.skip, self.metrics, self.cluster,
self.tica, self.ticadim, self.ticalag, self.modellag, self.modelunits, self.macronum, self.bulk_split,
self.fes, self.rg_analysis, self.save_model, self.data_fstep)
if isinstance(self.model, str):
try:
print("Loading model")
model = Model()
model.load(self.model)
self.model = model
except:
print("Could not load the model")
return
if isinstance(self.model, Model):
print("Model loaded")
self.mol = Molecule(self.model.data.simlist[0].molfile)
def _run(self, molName):
self.molName = molName
logger.info('Molecule: {}'.format(self.molName))
molFile = os.path.join(home('test-charge'), self.molName + '.mol2')
self.mol = Molecule(molFile)
self.new_mols = {}
self.extras = {}
self.new_mols['Gasteiger'] = fitGasteigerCharges(self.mol)
try:
self.new_mols['AM1-BCC'] = fitChargesWithAntechamber(self.mol, type='bcc')
except:
pass
qm = Psi4()
qm.theory = 'B3LYP'
qm.basis = '6-311++G**'
workDir = os.path.join('tmp', self.molName)
os.makedirs(workDir, exist_ok=True)
for factor in [-10, -5, -4, -3, -2, -1]:
logger.info('Factor: {}'.format(factor))
key = 'ESP b {}'.format(factor)
np.random.seed(20181114) # Make ESP grid generation deterministic
self.new_mols[key], self.extras[key] = fitESPCharges(self.mol, qm, workDir, restraint_factor=10**factor)
def __init__(self, sims, refmol, trajalnstr, refalnstr, atomsel, centerstr):
self._refmol = refmol
self._refalnsel = self._refmol.atomselect(refalnstr)
self._trajalnsel = trajalnstr
self._centersel = centerstr
self._atomsel = atomsel
self._pc_trajalnsel = None # pc = Pre-calculated
self._pc_atomsel = None
self._pc_centersel = None
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_trajalnsel = mol.atomselect(trajalnstr)
self._pc_atomsel = mol.atomselect(atomsel)
self._pc_centersel = mol.atomselect(centerstr)
def __init__(self, sims, refmol, trajalnstr, refalnstr, atomsel, centerstr):
self._refmol = refmol
self._refalnsel = self._refmol.atomselect(refalnstr)
self._trajalnsel = trajalnstr
self._centersel = centerstr
self._atomsel = atomsel
self._pc_trajalnsel = None # pc = Pre-calculated
self._pc_atomsel = None
self._pc_centersel = None
(single, molfile) = _singleMolfile(sims)
if single:
mol = Molecule(molfile)
self._pc_trajalnsel = mol.atomselect(trajalnstr)
self._pc_atomsel = mol.atomselect(atomsel)
self._pc_centersel = mol.atomselect(centerstr)
def testWithoutProteinPrepare(self):
from htmd.builder.solvate import solvate
# Test without proteinPrepare
pdbids = ['3PTB']
# pdbids = ['3PTB', '1A25', '1GZM', '1U5U']
for pid in pdbids:
np.random.seed(1)
mol = Molecule(pid)
mol.filter('protein')
smol = solvate(mol)
ffs = defaultFf()
tmpdir = os.path.join(self.testDir, 'withoutProtPrep', pid)
_ = build(smol, ff=ffs, outdir=tmpdir)
refdir = home(dataDir=join('test-amber-build', 'nopp', pid))
TestAmberBuild._compareResultFolders(refdir, tmpdir, pid)
def _analyse(self, mol, pdb, traj):
m = Molecule(pdb)
m.read(traj)
torsions = Parameterization.listDihedrals(mol)
# print(torsions)
for i in range(len(torsions[0])):
# For each torsion, measure
title = torsions[1][i][0]
title = title + "-" + torsions[1][i][1]
title = title + "-" + torsions[1][i][2]
title = title + "-" + torsions[1][i][3]
(r, theta) = self._measure_torsion(torsions[0][i], m.coords)
self._plot_scatter(r, theta, title)
self._plot_hist(theta, title)
def equilibrateSystem(pdbfile, psffile, outpdb, numsteps=30000, minimplatform='CPU', equilplatform='CUDA', device=0,
temp=300, minimize=500000, minimizetol=100, charmmfolder=None):
pdb = Molecule(pdbfile)
watcoo = pdb.get('coords', 'water')
celld = unit.Quantity((watcoo.max(axis=0) - watcoo.min(axis=0)).squeeze(), unit=unit.angstrom)
psf = app.CharmmPsfFile(psffile)
pdb = app.PDBFile(pdbfile)
psf.setBox(celld[0], celld[1], celld[2])
params = readCharmmParameters(charmmfolder, defaultCharmmFiles)
system = psf.createSystem(params, nonbondedMethod=app.PME,
nonbondedCutoff=1*unit.nanometer,
constraints=app.HBonds)
system.addForce(mm.MonteCarloBarostat(1*unit.atmospheres, temp*unit.kelvin, 25))
platform, prop = getPlatform(minimplatform, device)
integrator = mm.LangevinIntegrator(temp*unit.kelvin, 1/unit.picosecond, 0.002*unit.picoseconds)
simulation = app.Simulation(psf.topology, system, integrator, platform, prop)
simulation.context.setPositions(pdb.positions)
# Perform minimization
printEnergies(simulation, 'Energy before minimization')
simulation.minimizeEnergy(tolerance=minimizetol*unit.kilojoule/unit.mole, maxIterations=minimize)
printEnergies(simulation, 'Energy after minimization')
# Copy coordinates from miminization context to equilibration context
state = simulation.context.getState(getPositions=True)
pos = state.getPositions()
# Set up the equilibration simulation
platform, prop = getPlatform(equilplatform, device)
integrator = mm.LangevinIntegrator(temp*unit.kelvin, 1/unit.picosecond, 0.002*unit.picoseconds)
simulation = app.Simulation(psf.topology, system, integrator, platform, prop)
simulation.context.setPositions(pos)
# Generate initial velocities
simulation.context.setVelocitiesToTemperature(temp)
from htmd.membranebuilder.pdbreporter import PDBReporter
from htmd.membranebuilder.dcdreporter import DCDReporter
simulation.reporters.append(PDBReporter(outpdb, numsteps, enforcePeriodicBox=False))
simulation.reporters.append(app.StateDataReporter(stdout, int(numsteps/10), step=True,
potentialEnergy=True, kineticEnergy=True, totalEnergy=True, temperature=True,
progress=True, speed=True, remainingTime=True, totalSteps=numsteps, separator='\t'))
simulation.step(numsteps)
def test_project_align(self):
from htmd.molecule.molecule import Molecule
from htmd.home import home
from os import path
mol = Molecule(path.join(home(), 'data', 'metricdistance', 'filtered.pdb'))
mol.read(path.join(home(), 'data', 'metricdistance', 'traj.xtc'))
ref = mol.copy()
ref.coords = np.atleast_3d(ref.coords[:, :, 0])
metr = MetricCoordinate('protein and name CA', ref)
data = metr.project(mol)
lastcoors = np.array([6.79283285, 5.55226946, 4.49387407, 2.94484425,
5.36937141, 3.18590879, 5.75874281, 5.48864174,
1.69625032, 1.58790839, 0.57877392, -2.66498065,
-3.70919156, -3.33702421, -5.38465405, -8.43286991,
-8.15859032, -7.85062265, -10.92551327, -13.70733166], dtype=np.float32)
assert np.all(np.abs(data[-1, -20:] - lastcoors) < 0.001), 'Coordinates calculation is broken'
def test_project(self):
from htmd.molecule.molecule import Molecule
from htmd.home import home
from os import path
mol = Molecule(path.join(home(), 'data', 'metricdistance', 'filtered.pdb'))
mol.read(path.join(home(), 'data', 'metricdistance', 'traj.xtc'))
ref = mol.copy()
ref.coords = np.atleast_3d(ref.coords[:, :, 0])
metr = MetricCoordinate('protein and name CA')
data = metr.project(mol)
lastcoors = np.array([-24.77000237, -27.76000023, -30.44000244, -33.65000153,
-33.40999985, -36.32000351, -36.02000427, -36.38000107,
-39.61000061, -41.01000214, -43.80000305, -45.56000137,
-45.36000061, -47.13000488, -49.54000473, -50.6000061 ,
-50.11000061, -52.15999985, -55.1400032 , -55.73000336], dtype=np.float32)
assert np.all(np.abs(data[-1, -20:] - lastcoors) < 0.001), 'Coordinates calculation is broken'
def _processSimOld(obj, i, updList, uniqueMol, uqMol, skip, deleteSims, metrics, ref, fstep):
pieces = updList[i].trajectory
try:
if uniqueMol:
mol = uqMol.copy()
else:
mol = Molecule(updList[i].molfile)
logger.debug(pieces[0])
mol._readTraj(pieces, skip=skip)
except Exception as e:
logger.warning('Error in simulation with id: ' + str(updList[i].simid) + ' ' + e.__str__())
#deleteSims[i] = True
return None, None, None, True, i
#fstep[i] = mol.fstep
#metrics[i] = obj._processTraj(mol)
#ref[i] = obj._calcRef(pieces, mol.fileloc)
return obj._processTraj(mol), obj._calcRef(pieces, mol.fileloc), mol.fstep, False, i
def _writeInputsFunction(i, f, epoch, inputpath, coorname):
regex = re.compile('(e\d+s\d+)_')
frameNum = f.frame
piece = f.piece
if f.sim.parent is None:
currSim = f.sim
else:
currSim = f.sim.parent
traj = currSim.trajectory[piece]
if currSim.input is None:
raise NameError('Could not find input folder in simulation lists. Cannot create new simulations.')
wuName = _simName(traj)
res = regex.search(wuName)
if res: # If we are running on top of adaptive, use the first name part for the next sim name
wuName = res.group(1)
# create new job directory
newName = 'e' + str(epoch) + 's' + str(i + 1) + '_' + wuName + 'p' + str(piece) + 'f' + str(frameNum)
newDir = path.join(inputpath, newName, '')
# copy previous input directory including input files
copytree(currSim.input, newDir, symlinks=False, ignore=ignore_patterns('*.coor', '*.rst', '*.out', *_IGNORE_EXTENSIONS))
# overwrite input file with new one. frameNum + 1 as catdcd does 1 based indexing
mol = Molecule(currSim.molfile) # Always read the mol file, otherwise it does not work if we need to save a PDB as coorname
mol.read(traj)
mol.dropFrames(keep=frameNum) # Making sure only specific frame to write is kept
mol.write(path.join(newDir, coorname))
def _viewStatesNGL(self, states, statetype, protein, ligand, mols, numsamples):
if states is None:
states = range(self.macronum)
if isinstance(states, int):
states = [states]
if mols is None:
mols = self.getStates(states, statetype, numsamples=min(numsamples, 15))
colors = [0, 1, 3, 4, 5, 6, 7, 9]
if protein is None and ligand is None:
raise NameError('Please provide either the "protein" or "ligand" parameter for viewStates.')
if protein:
mol = Molecule()
if ligand:
mol = mols[0].copy()
mol.remove(ligand, _logger=False)
mol.coords = np.atleast_3d(mol.coords[:, :, 0])
mol.reps.add(sel='protein', style='NewCartoon', color='Secondary Structure')
for i, s in enumerate(states):
if protein:
mol.reps.add(sel='segid ST{}'.format(s), style='NewCartoon', color='Index')
if ligand:
mol.reps.add(sel='segid ST{}'.format(s), style='Licorice', color=colors[np.mod(i, len(colors))])
mols[i].filter(ligand, _logger=False)
mols[i].set('segid', 'ST{}'.format(s))
tmpcoo = mols[i].coords
for j in range(mols[i].numFrames):
mols[i].coords = np.atleast_3d(tmpcoo[:, :, j])
mol.append(mols[i])
w = mol.view(viewer='ngl')
self._nglButtons(w, statetype, states)
return w
def testWithProteinPrepare(self):
from htmd.builder.preparation import proteinPrepare
from htmd.builder.solvate import solvate
# Test with proteinPrepare
pdbids = ['3PTB']
# pdbids = ['3PTB', '1A25', '1GZM'] # '1U5U' out because it has AR0 (no parameters)
for pid in pdbids:
np.random.seed(1)
mol = Molecule(pid)
mol.filter('protein')
mol = proteinPrepare(mol)
mol.filter('protein') # Fix for bad proteinPrepare hydrogen placing
smol = solvate(mol)
ffs = defaultFf()
tmpdir = os.path.join(self.testDir, 'withProtPrep', pid)
_ = build(smol, ff=ffs, outdir=tmpdir)
refdir = home(dataDir=join('test-amber-build', 'pp', pid))
TestAmberBuild._compareResultFolders(refdir, tmpdir, pid)
def _fb_potential2restraints(self, inputdir):
from htmd.molecule.molecule import Molecule
restraints = list()
fb_box = np.array(self.fb_box)
# convert fb_box to width
width = list(np.concatenate(np.diff(np.array([fb_box[::2], fb_box[1::2]]), axis=0)))
# If fb_box is not symmetrical
if not np.all(fb_box[::2] == -fb_box[1::2]):
# convert fb_box and fb_reference to fbcentre and width
mol = Molecule(os.path.join(inputdir, self.acemd.structure))
mol.read(os.path.join(inputdir, self.acemd.coordinates))
fb_refcentre = mol.get('coords', sel=self.fb_reference).mean(axis=0).squeeze()
fbcentre = list(np.around(np.mean(np.array([fb_box[::2], fb_box[1::2]]), axis=0) + fb_refcentre, 3))
restraints.append(GroupRestraint(self.fb_selection, width, [(self.fb_k, 0)], fbcentre=fbcentre))
else:
restraints.append(GroupRestraint(self.fb_selection, width, [(self.fb_k, 0)], fbcentresel=self.fb_reference))
return restraints
def _pointsOnSphere(radius, numsamples=1000):
pointcoords = np.zeros((numsamples, 3))
for i in range(numsamples):
point = Molecule()
point.empty(1)
point.moveBy([0, 0, radius])
point.rotateBy(uniformRandomRotation())
pointcoords[i, :] = np.squeeze(point.coords)
return pointcoords
def tileMembrane(memb, xmin, ymin, xmax, ymax):
""" Tile the membrane in the X and Y dimensions to reach a specific size.
Returns
-------
megamemb :
A big membrane Molecule
"""
from htmd.progress.progress import ProgressBar
memb = memb.copy()
memb.resid = sequenceID(memb.resid)
minmemb = np.min(memb.get('coords', 'water'), axis=0).flatten()
size = np.max(memb.get('coords', 'water'), axis=0) - np.min(memb.get('coords', 'water'), axis=0)
size = size.flatten()
xreps = int(np.ceil((xmax - xmin) / size[0]))
yreps = int(np.ceil((ymax - ymin) / size[1]))
logger.info('Replicating Membrane {}x{}'.format(xreps, yreps))
from htmd.molecule.molecule import Molecule
megamemb = Molecule()
bar = ProgressBar(xreps * yreps, description='Replicating Membrane')
k = 0
for x in range(xreps):
for y in range(yreps):
tmpmemb = memb.copy()
xpos = xmin + x * size[0]
ypos = ymin + y * size[1]
tmpmemb.moveBy([-float(minmemb[0]) + xpos, -float(minmemb[1]) + ypos, 0])
sel = 'same resid as (x > {} or y > {})'.format(xmax, ymax)
tmpmemb.remove(sel, _logger=False)
tmpmemb.set('segid', 'M{}'.format(k))
megamemb.append(tmpmemb)
k += 1
bar.progress()
bar.stop()
return megamemb
def _filtSim(i, sims, outFolder, filterSel):
name = _simName(sims[i].trajectory[0])
directory = path.join(outFolder, name)
if not path.exists(directory):
makedirs(directory)
logger.debug('Processing trajectory ' + name)
fmolfile = path.join(outFolder, 'filtered.pdb')
(traj, outtraj) = _renameSims(sims[i].trajectory, name, outFolder)
if not traj:
ftrajectory = _listXTCs(path.join(outFolder, name))
return Sim(simid=sims[i].simid, parent=sims[i], input=None, trajectory=ftrajectory, molfile=fmolfile)
try:
mol = Molecule(sims[i].molfile)
except:
logger.warning('Error! Skipping simulation ' + name)
return
sel = mol.atomselect(filterSel)
for j in range(0, len(traj)):
try:
mol.read(traj[j])
except IOError as e:
logger.warning(e.strerror + ', skipping trajectory')
break
mol.write(outtraj[j], sel)
ftrajectory = _listXTCs(path.join(outFolder, name))
#bar.progress()
return Sim(simid=sims[i].simid, parent=sims[i], input=None, trajectory=ftrajectory, molfile=fmolfile)
def _filterTopology(sim, outfolder, filtsel):
from htmd.util import ensurelist
try:
from htmd.molecule.molecule import Molecule
mol = Molecule(sim.molfile)
except IOError as e:
raise RuntimeError('simFilter: {}. Cannot read topology file {}'.format(e, sim.molfile))
if mol.coords.size == 0: # If we read for example psf or prmtop which have no coords, just add 0s everywhere
mol.coords = np.zeros((mol.numAtoms, 3, 1), dtype=np.float32)
extensions = ['pdb',] # Adding pdb to make sure it's always written
for m in ensurelist(sim.molfile):
extensions.append(os.path.splitext(m)[1][1:])
for ext in list(set(extensions)):
filttopo = path.join(outfolder, 'filtered.{}'.format(ext))
if not path.isfile(filttopo):
try:
mol.write(filttopo, filtsel)
except Exception as e:
logger.warning('Filtering was not able to write {} due to error: {}'.format(filttopo, e))
def _processSim(sim, projectionlist, uqmol, skip):
pieces = sim.trajectory
try:
if uqmol is not None:
mol = uqmol.copy()
else:
mol = Molecule(sim.molfile)
logger.debug(pieces[0])
mol._readTraj(pieces, skip=skip)
data = []
for p in projectionlist:
pj=p.project(mol)
if pj.ndim==1:
pj=np.atleast_2d(pj).T
data.append(pj)
data = np.hstack(data)
except Exception as e:
logger.warning('Error in simulation with id: ' + str(sim.simid) + ' ' + e.__str__())
return None, None, None, True
return data, _calcRef(pieces, mol.fileloc), mol.fstep, False