def _get_initial_parameters(mol, args):
from htmd.parameterization.fftype import fftype
logger.info('=== Atom type and initial parameter assignment ===')
logger.info('Method: {}'.format(args.forcefield))
# Get RTF and PRM file names
rtfFile, prmFile = args.rtf_prm if args.rtf_prm else None, None
# Assing atom types and initial force field parameters
_charge = mol.charge.copy()
parameters, mol = fftype(mol,
method=args.forcefield,
rtfFile=rtfFile,
prmFile=prmFile,
netcharge=args.charge)
assert np.all(mol.charge == _charge), 'fftype is meddling with charges!'
logger.info('Atom types:')
for name, type in zip(mol.name, mol.atomtype):
logger.info(' {:4s} : {}'.format(name, type))
# TODO write initial parameter to a file
return mol, parameters
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 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 setUp(self):
from htmd.home import home
from moleculekit.molecule import Molecule
from htmd.parameterization.detect import detectEquivalentAtoms
from htmd.parameterization.fftype import fftype
molFile = os.path.join(home('test-param'), 'glycol.mol2')
mol = Molecule(molFile)
self.equivalents = detectEquivalentAtoms(mol)
_, self.mol = fftype(mol, method='GAFF2')
def setUp(self):
from htmd.home import home
from htmd.parameterization.fftype import FFTypeMethod, fftype
from htmd.parameterization.util import canonicalizeAtomNames, getEquivalentsAndDihedrals
from htmd.molecule.molecule import Molecule
molFile = os.path.join(home('test-param'), 'glycol.mol2')
mol = Molecule(molFile)
mol = canonicalizeAtomNames(mol)
mol, self.equivalents, all_dihedrals = getEquivalentsAndDihedrals(mol)
_, mol = fftype(mol, method=FFTypeMethod.GAFF2)
self.mol = mol
def main_parameterize(arguments=None):
args = getArgumentParser().parse_args(args=arguments)
if not os.path.exists(args.filename):
raise ValueError('File %s cannot be found' % args.filename)
method_map = {
'GAFF': FFTypeMethod.GAFF,
'GAFF2': FFTypeMethod.GAFF2,
'CGENFF': FFTypeMethod.CGenFF_2b6
}
methods = [method_map[method] for method in args.forcefield]
# Get RTF and PRM file names
rtfFile, prmFile = None, None
if args.rtf_prm:
rtfFile, prmFile = args.rtf_prm
# Create a queue for QM
if args.queue == 'local':
queue = LocalCPUQueue()
elif args.queue == 'Slurm':
queue = SlurmQueue(_configapp=args.code.lower())
elif args.queue == 'LSF':
queue = LsfQueue(_configapp=args.code.lower())
elif args.queue == 'PBS':
queue = PBSQueue() # TODO: configure
elif args.queue == 'AceCloud':
queue = AceCloudQueue() # TODO: configure
queue.groupname = args.groupname
queue.hashnames = True
else:
raise NotImplementedError
# Override default ncpus
if args.ncpus:
logger.info('Overriding ncpus to {}'.format(args.ncpus))
queue.ncpu = args.ncpus
if args.memory:
logger.info('Overriding memory to {}'.format(args.memory))
queue.memory = args.memory
# Create a QM object
if args.code == 'Psi4':
qm = Psi4()
elif args.code == 'Gaussian':
qm = Gaussian()
else:
raise NotImplementedError
# This is for debugging only!
if args.fake_qm:
qm = FakeQM2()
logger.warning('Using FakeQM')
# Get rotatable dihedral angles
mol = Molecule(args.filename)
mol = canonicalizeAtomNames(mol)
mol, equivalents, all_dihedrals = getEquivalentsAndDihedrals(mol)
netcharge = args.charge if args.charge is not None else int(
round(np.sum(mol.charge)))
if args.list:
print('\n === Parameterizable dihedral angles of {} ===\n'.format(
args.filename))
with open('torsions.txt', 'w') as fh:
for dihedral in all_dihedrals:
dihedral_name = '-'.join(mol.name[list(dihedral[0])])
print(' {}'.format(dihedral_name))
fh.write(dihedral_name + '\n')
print()
sys.exit(0)
# Set up the QM object
qm.theory = args.theory
qm.basis = args.basis
qm.solvent = args.environment
qm.queue = queue
qm.charge = netcharge
# Select which dihedrals to fit
parameterizable_dihedrals = [list(dih[0]) for dih in all_dihedrals]
if len(args.dihedral) > 0:
all_dihedral_names = [
'-'.join(mol.name[list(dihedral[0])]) for dihedral in all_dihedrals
]
parameterizable_dihedrals = []
for dihedral_name in args.dihedral:
if dihedral_name not in all_dihedral_names:
raise ValueError(
'%s is not recognized as a rotatable dihedral angle' %
dihedral_name)
parameterizable_dihedrals.append(
list(
all_dihedrals[all_dihedral_names.index(dihedral_name)][0]))
# Print arguments
print('\n === Arguments ===\n')
for key, value in vars(args).items():
print('{:>12s}: {:s}'.format(key, str(value)))
print('\n === Parameterizing %s ===\n' % args.filename)
for method in methods:
print(" === Fitting for %s ===\n" % method.name)
printReport(mol, netcharge, equivalents, all_dihedrals)
parameters, mol = fftype(mol,
method=method,
rtfFile=rtfFile,
prmFile=prmFile,
netcharge=args.charge)
if isinstance(qm, FakeQM2):
qm._parameters = parameters
# Copy the molecule to preserve initial coordinates
orig_coor = mol.coords.copy()
# Update B3LYP to B3LYP-D3
# TODO: this is silent and not documented stuff
if qm.theory == 'B3LYP':
qm.correction = 'D3'
# Update basis sets
# TODO: this is silent and not documented stuff
if netcharge < 0 and qm.solvent == 'vacuum':
if qm.basis == '6-31G*':
qm.basis = '6-31+G*'
if qm.basis == 'cc-pVDZ':
qm.basis = 'aug-cc-pVDZ'
logger.info('Changing basis sets to %s' % qm.basis)
# Minimize molecule
if args.minimize:
print('\n == Minimizing ==\n')
mol = minimize(mol, qm, args.outdir)
# Fit ESP charges
if args.fit_charges:
print('\n == Fitting ESP charges ==\n')
# Set random number generator seed
if args.seed:
np.random.seed(args.seed)
# Select the atoms with fixed charges
fixed_atom_indices = getFixedChargeAtomIndices(
mol, args.fix_charge)
# Fit ESP charges
mol, _, esp_charges, qm_dipole = fitCharges(
mol, qm, args.outdir, fixed=fixed_atom_indices)
# Print dipoles
logger.info('QM dipole: %f %f %f; %f' % tuple(qm_dipole))
mm_dipole = getDipole(mol)
if np.all(np.isfinite(mm_dipole)):
logger.info('MM dipole: %f %f %f; %f' % tuple(mm_dipole))
else:
logger.warning(
'MM dipole cannot be computed. Check if elements are detected correctly.'
)
# Fit dihedral angle parameters
if args.fit_dihedral:
print('\n == Fitting dihedral angle parameters ==\n')
# Set random number generator seed
if args.seed:
np.random.seed(args.seed)
# Invent new atom types for dihedral atoms
mol, originaltypes = inventAtomTypes(mol,
parameterizable_dihedrals,
equivalents)
parameters = recreateParameters(mol, originaltypes, parameters)
parameters = createMultitermDihedralTypes(parameters)
if isinstance(qm, FakeQM2):
qm._parameters = parameters
# Fit the parameters
fitDihedrals(mol,
qm,
method,
parameters,
all_dihedrals,
parameterizable_dihedrals,
args.outdir,
geomopt=args.optimize_dihedral)
# Output the FF parameters
print('\n == Writing results ==\n')
writeParameters(mol,
parameters,
qm,
method,
netcharge,
args.outdir,
original_coords=orig_coor)
# Write energy file
energyFile = os.path.join(args.outdir, 'parameters', method.name,
_qm_method_name(qm), 'energies.txt')
printEnergies(mol, parameters, energyFile)
logger.info('Write energy file: %s' % energyFile)
def main_parameterize(arguments=None):
args = getArgumentParser().parse_args(args=arguments)
if not os.path.exists(args.filename):
raise ValueError('File %s cannot be found' % args.filename)
method_map = {'GAFF': FFTypeMethod.GAFF, 'GAFF2': FFTypeMethod.GAFF2, 'CGENFF': FFTypeMethod.CGenFF_2b6}
methods = [method_map[method] for method in args.forcefield]
# Get RTF and PRM file names
rtfFile, prmFile = None, None
if args.rtf_prm:
rtfFile, prmFile = args.rtf_prm
# Create a queue for QM
if args.queue == 'local':
queue = LocalCPUQueue()
elif args.queue == 'Slurm':
queue = SlurmQueue(_configapp=args.code.lower())
elif args.queue == 'LSF':
queue = LsfQueue(_configapp=args.code.lower())
elif args.queue == 'PBS':
queue = PBSQueue() # TODO: configure
elif args.queue == 'AceCloud':
queue = AceCloudQueue() # TODO: configure
queue.groupname = args.groupname
queue.hashnames = True
else:
raise NotImplementedError
# Override default ncpus
if args.ncpus:
logger.info('Overriding ncpus to {}'.format(args.ncpus))
queue.ncpu = args.ncpus
if args.memory:
logger.info('Overriding memory to {}'.format(args.memory))
queue.memory = args.memory
# Create a QM object
if args.code == 'Psi4':
qm = Psi4()
elif args.code == 'Gaussian':
qm = Gaussian()
else:
raise NotImplementedError
# This is for debugging only!
if args.fake_qm:
qm = FakeQM2()
logger.warning('Using FakeQM')
# Get rotatable dihedral angles
mol = Molecule(args.filename)
mol = canonicalizeAtomNames(mol)
mol, equivalents, all_dihedrals = getEquivalentsAndDihedrals(mol)
netcharge = args.charge if args.charge is not None else int(round(np.sum(mol.charge)))
if args.list:
print('\n === Parameterizable dihedral angles of {} ===\n'.format(args.filename))
with open('torsions.txt', 'w') as fh:
for dihedral in all_dihedrals:
dihedral_name = '-'.join(mol.name[list(dihedral[0])])
print(' {}'.format(dihedral_name))
fh.write(dihedral_name+'\n')
print()
sys.exit(0)
# Set up the QM object
qm.theory = args.theory
qm.basis = args.basis
qm.solvent = args.environment
qm.queue = queue
qm.charge = netcharge
# Select which dihedrals to fit
parameterizable_dihedrals = [list(dih[0]) for dih in all_dihedrals]
if len(args.dihedral) > 0:
all_dihedral_names = ['-'.join(mol.name[list(dihedral[0])]) for dihedral in all_dihedrals]
parameterizable_dihedrals = []
for dihedral_name in args.dihedral:
if dihedral_name not in all_dihedral_names:
raise ValueError('%s is not recognized as a rotatable dihedral angle' % dihedral_name)
parameterizable_dihedrals.append(list(all_dihedrals[all_dihedral_names.index(dihedral_name)][0]))
# Print arguments
print('\n === Arguments ===\n')
for key, value in vars(args).items():
print('{:>12s}: {:s}'.format(key, str(value)))
print('\n === Parameterizing %s ===\n' % args.filename)
for method in methods:
print(" === Fitting for %s ===\n" % method.name)
printReport(mol, netcharge, equivalents, all_dihedrals)
parameters, mol = fftype(mol, method=method, rtfFile=rtfFile, prmFile=prmFile, netcharge=args.charge)
if isinstance(qm, FakeQM2):
qm._parameters = parameters
# Copy the molecule to preserve initial coordinates
orig_coor = mol.coords.copy()
# Update B3LYP to B3LYP-D3
# TODO: this is silent and not documented stuff
if qm.theory == 'B3LYP':
qm.correction = 'D3'
# Update basis sets
# TODO: this is silent and not documented stuff
if netcharge < 0 and qm.solvent == 'vacuum':
if qm.basis == '6-31G*':
qm.basis = '6-31+G*'
if qm.basis == 'cc-pVDZ':
qm.basis = 'aug-cc-pVDZ'
logger.info('Changing basis sets to %s' % qm.basis)
# Minimize molecule
if args.minimize:
print('\n == Minimizing ==\n')
mol = minimize(mol, qm, args.outdir)
# Fit ESP charges
if args.fit_charges:
print('\n == Fitting ESP charges ==\n')
# Set random number generator seed
if args.seed:
np.random.seed(args.seed)
# Select the atoms with fixed charges
fixed_atom_indices = getFixedChargeAtomIndices(mol, args.fix_charge)
# Fit ESP charges
mol, _, esp_charges, qm_dipole = fitCharges(mol, qm, args.outdir, fixed=fixed_atom_indices)
# Print dipoles
logger.info('QM dipole: %f %f %f; %f' % tuple(qm_dipole))
mm_dipole = getDipole(mol)
if np.all(np.isfinite(mm_dipole)):
logger.info('MM dipole: %f %f %f; %f' % tuple(mm_dipole))
else:
logger.warning('MM dipole cannot be computed. Check if elements are detected correctly.')
# Fit dihedral angle parameters
if args.fit_dihedral:
print('\n == Fitting dihedral angle parameters ==\n')
# Set random number generator seed
if args.seed:
np.random.seed(args.seed)
# Invent new atom types for dihedral atoms
mol, originaltypes = inventAtomTypes(mol, parameterizable_dihedrals, equivalents)
parameters = recreateParameters(mol, originaltypes, parameters)
parameters = createMultitermDihedralTypes(parameters)
if isinstance(qm, FakeQM2):
qm._parameters = parameters
# Fit the parameters
fitDihedrals(mol, qm, method, parameters, all_dihedrals, parameterizable_dihedrals, args.outdir, geomopt=args.optimize_dihedral)
# Output the FF parameters
print('\n == Writing results ==\n')
writeParameters(mol, parameters, qm, method, netcharge, args.outdir, original_coords=orig_coor)
# Write energy file
energyFile = os.path.join(args.outdir, 'parameters', method.name, _qm_method_name(qm), 'energies.txt')
printEnergies(mol, parameters, energyFile)
logger.info('Write energy file: %s' % energyFile)
from os.path import join
from htmd.builder.solvate import solvate
from htmd.parameterization.fftype import fftype
from htmd.parameterization.writers import writeFRCMOD
from moleculekit.molecule import Molecule
from htmd.builder.amber import defaultParam, build
# Test protein ligand building with parametrized ligand
refdir = home(dataDir=join('test-amber-build', 'protLig'))
tmpdir = './protLig'
mol = Molecule(join(refdir, '3ptb_mod.pdb'))
mol.center()
lig = Molecule(join(refdir, 'benzamidine.pdb'),
guess=('bonds', 'angles', 'dihedrals'))
prm, lig = fftype(lig, method='GAFF2')
writeFRCMOD(lig, prm, join(tmpdir, 'mol.frcmod'))
lig.segid[:] = 'L'
lig.center()
from moleculekit.util import maxDistance
D = maxDistance(mol, 'all')
D += 6
lig.moveBy([0, 0, D])
newmol = Molecule()
newmol.append(lig)
newmol.append(mol)
smol = solvate(newmol, posz=3)
params = defaultParam() + [
