def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--scratch',
action='store',
help='',
metavar="DIR",
default="_tmp_")
parser.add_argument('--json', action='store', help='', metavar="FILE")
parser.add_argument('-j',
'--procs',
action='store',
help='pararallize',
metavar="int",
default=0,
type=int)
args = parser.parse_args()
if args.scratch[-1] != "/":
args.scratch += "/"
data = misc.load_json(args.json)
keys = data.keys()
keys = list(keys)
canonical_data = {}
for key in keys:
molobj, status = cheminfo.smiles_to_molobj(key)
if molobj is None:
print("error none mol:", key)
continue
smiles = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
if "." in smiles:
print("error multi mol:", smiles)
continue
atoms = cheminfo.molobj_to_atoms(molobj)
if not is_mol_allowed(atoms):
print("error heavy mol:", smiles)
continue
canonical_data[smiles] = data[key]
misc.save_json(args.scratch + "molecule_data", canonical_data)
misc.save_obj(args.scratch + "molecule_data", canonical_data)
return
def search_molcules(mollist, proplist, conf_scr="_tmp_ensemble_"):
sublist_mol = []
sublist_prop = []
sublist_idxs = []
for idx, (molobj, prop) in enumerate(zip(mollist, proplist)):
atoms = molobj.GetAtoms()
atoms = [atom.GetSymbol() for atom in atoms]
atoms = np.array(atoms)
uatm, counts = np.unique(atoms, return_counts=True)
if 'C' not in uatm:
continue
c_idx, = np.where(uatm == 'C')
c_idx = c_idx[0]
if counts[c_idx] > 8:
continue
if counts[c_idx] < 3:
continue
h_idx, = np.where(uatm == 'C')
h_idx = h_idx[0]
counts[h_idx] = 0
N = sum(counts)
if N > 10:
continue
smi = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
try:
value, stddev = prop.strip().split()
value = float(value)
stddev = float(stddev)
except:
value = prop.strip()
value = float(value)
sublist_mol.append(molobj)
sublist_prop.append(value)
sublist_idxs.append(idx)
return sublist_mol, sublist_prop, sublist_idxs
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--scratch', action='store', help='', metavar="DIR", default="_tmp_")
parser.add_argument('--sdf', action='store', help='', metavar="FILE", nargs="+")
parser.add_argument('-j', '--procs', action='store', help='pararallize', metavar="int", default=0, type=int)
args = parser.parse_args()
if args.scratch[-1] != "/":
args.scratch += "/"
if args.procs == -1:
args.procs = os.cpu_count()
print("starting", args.procs, "procs")
# fsdf = gzip.open(args.scratch + "structures.sdf.gz", 'w')
# fprop = open(args.scratch + "properties.csv", 'w')
mol_val_dict = {}
for sdf in args.sdf:
print("reading", sdf)
molobjs, values = parse_ochem(sdf, debug=True, procs=args.procs)
for molobj, value in zip(molobjs, values):
smiles = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
if "smiles" not in mol_val_dict:
mol_val_dict[smiles] = []
else:
print("duplicate", smiles)
mol_val_dict[smiles].append(value)
# sdfstr = cheminfo.molobj_to_sdfstr(molobj)
# sdfstr += "$$$$\n"
#
# propstr = "{:} {:}\n".format(value, 0.0)
# fprop.write(propstr)
# fsdf.close()
# fprop.close()
keys = mol_val_dict.keys()
print("TOTAL ITEMS", len(keys))
misc.save_json(args.scratch + "molecule_data", mol_val_dict)
misc.save_obj(args.scratch + "molecule_data", mol_val_dict)
return
def parse_molobj(molobj, debug=False, **kwargs):
if molobj is None:
return None, None
mol_smi = cheminfo.molobj_to_smiles(molobj)
props = molobj.GetPropsAsDict()
keys = props.keys()
result = parse_molandprop(molobj, props)
return result
def clean_data(listdata):
data = {}
atom_types = []
for row in listdata:
idx = row[0]
smi = row[1]
value = row[3]
value = float(value)
molobj, status = cheminfo.smiles_to_molobj(smi)
if molobj is None:
print("error:", smi)
continue
smi = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
atoms = cheminfo.molobj_to_atoms(molobj)
# filter for organic chemistry
if not is_mol_allowed(atoms):
continue
atom_types += list(atoms)
if smi not in data:
data[smi] = []
data[smi].append(value)
atom_types, counts = np.unique(atom_types, return_counts=True)
for atom, count in zip(atom_types, counts):
print(atom, count)
keys = data.keys()
print("Total molecules", len(keys))
return data
def clean_data(df, scratch):
smiles = df.iloc[1]
data = {}
atom_types = []
for index, row in df.iterrows():
smi = row.smiles
value = row.mpC + 273.15
molobj, status = cheminfo.smiles_to_molobj(smi)
if molobj is None:
print("error:", smi)
continue
smi = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
# Atoms
atoms = cheminfo.molobj_to_atoms(molobj)
atom_types += list(atoms)
if smi not in data:
data[smi] = []
data[smi].append(value)
atom_types, counts = np.unique(atom_types, return_counts=True)
for atom, count in zip(atom_types, counts):
print(atom, count)
misc.save_obj(scratch + "molecule_data", data)
misc.save_json(scratch + "molecule_data", data)
return
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--scratch',
action='store',
help='',
metavar="dir",
default="_tmp_")
parser.add_argument('-j',
'--procs',
action='store',
help='pararallize',
metavar="int",
default=0,
type=int)
args = parser.parse_args()
if args.scratch[-1] != "/":
args.scratch += "/"
# Read properties
properties = misc.load_npy(args.scratch + "properties")
molecules = cheminfo.read_sdffile(args.scratch + "structures.sdf.gz")
molecules = list(molecules)
heavy_atoms = []
predictions = []
errors = []
for mol, prop in zip(molecules, properties):
smi = cheminfo.molobj_to_smiles(mol, remove_hs=True)
J = thermo.joback.Joback(smi)
# J = thermo.joback.Joback('CC(=O)C')
# J = thermo.joback.Joback('CCC(=O)OC(=O)CC')
status = J.status
atoms, coord = cheminfo.molobj_to_xyz(mol)
idx = np.where(atoms != 1)
atoms = atoms[idx]
N = len(atoms)
heavy_atoms.append(N)
if "Did not match all atoms present" in status:
errors.append(1)
predictions.append(float("nan"))
continue
try:
estimate = J.estimate()
except TypeError:
errors.append(1)
predictions.append(float("nan"))
continue
errors.append(0)
T_b = estimate["Tb"]
T_m = estimate["Tm"]
predictions.append(T_m)
errors = np.array(errors, dtype=int)
idx_success, = np.where(errors == 0)
heavy_atoms = np.array(heavy_atoms)
predictions = np.array(predictions)
properties = np.array(properties)
predictions = predictions[idx_success]
properties = properties[idx_success]
heavy_atoms = heavy_atoms[idx_success]
print("total", errors.shape[0], "filter", idx_success.shape[0])
print()
print(rmse(properties, predictions))
plt.plot(properties, properties, "-k")
plt.scatter(properties, predictions, s=0.95, alpha=0.8, c=heavy_atoms)
plt.xlabel("True")
plt.ylabel("Predicted")
plt.savefig("_fig_joback")
plt.clf()
return
def gamess_quantum_pipeline(request, molinfo):
"""
Assumed that rdkit understands the molecule
"""
# TODO Read gamess settings from ini
# Read input
molobj = molinfo["molobj"]
sdfstr = molinfo["sdfstr"]
if "name " in request.POST:
name = request.POST["name"].encode('utf-8')
else:
name = None
# Get that smile on your face
smiles = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
# hash on sdf (conformer)
hshobj = hashlib.md5(sdfstr.encode())
hashkey = hshobj.hexdigest()
# Start respond message
msg = {"smiles": smiles, "hashkey": hashkey}
# Check if calculation already exists
if False:
calculation = request.dbsession.query(models.GamessCalculation) \
.filter_by(hashkey=hashkey).first()
if calculation is not None:
calculation.created = datetime.datetime.now()
return msg
# Create new calculation
calculation = models.GamessCalculation()
# check if folder exists
here = os.path.abspath(os.path.dirname(__file__)) + "/"
datahere = here + "data/"
if not os.path.isdir(datahere + hashkey):
os.mkdir(datahere + hashkey)
os.chdir(datahere + hashkey)
# GAMESS DEBUG
# TODO Add error messages when gamess fails
# TODO add timeouts for all gamess calls
# Optimize molecule
gmsargs = {
"scr": datahere + hashkey,
"autoclean": True,
"debug": False,
}
properties = gamess.calculate_optimize(molobj, **gmsargs)
if properties is None:
return {
'error': 'Error g-80 - gamess optimization error',
'message': "Error. Server was unable to optimize molecule"
}
print(smiles, list(properties.keys()))
# Save and set coordinates
coord = properties["coord"]
calculation.coordinates = save_array(coord)
calculation.enthalpy = properties["h"]
cheminfo.molobj_set_coordinates(molobj, coord)
# Optimization is finished, do other calculation async-like
# Vibrate molecule
vibheader = """
$basis
gbasis=PM3
$end
$contrl
scftyp=RHF
runtyp=hessian
icharg={:}
maxit=60
$end
"""
orbheader = """
$contrl
coord=cart
units=angs
scftyp=rhf
icharg={:}
maxit=60
$end
$basis gbasis=sto ngauss=3 $end
"""
solheader = """
$system
mwords=125
$end
$basis
gbasis=PM3
$end
$contrl
scftyp=RHF
runtyp=energy
icharg={:}
$end
$pcm
solvnt=water
mxts=15000
icav=1
idisp=1
$end
$tescav
mthall=4
ntsall=60
$end
"""
headers = [vibheader, orbheader, solheader]
readers = [
gamess.read_properties_vibration, gamess.read_properties_orbitals,
gamess.read_properties_solvation
]
def procfunc(conn, reader, *args, **kwargs):
stdout, status = gamess.calculate(*args, **kwargs)
try:
properties = reader(stdout)
except:
# TODO Error reading properties
properties = None
conn.send(properties)
conn.close()
procs = []
conns = []
for header, reader in zip(headers, readers):
parent_conn, child_conn = Pipe()
p = Process(target=procfunc,
args=(child_conn, reader, molobj, header),
kwargs=gmsargs)
p.start()
procs.append(p)
conns.append(parent_conn)
for proc in procs:
proc.join()
properties_vib = conns[0].recv()
properties_orb = conns[1].recv()
properties_sol = conns[2].recv()
if properties_vib is None:
return {
'error': 'Error g-104 - gamess vibration error',
'message': "Error. Server was unable to vibrate molecule"
}
print(smiles, list(properties_vib.keys()))
calculation.islinear = properties_vib["linear"]
calculation.vibjsmol = properties_vib["jsmol"]
calculation.vibfreq = save_array(properties_vib["freq"])
calculation.vibintens = save_array(properties_vib["intens"])
calculation.thermo = save_array(properties_vib["thermo"])
if properties_orb is None:
return {
'error': 'Error g-128 - gamess orbital error',
'message': "Error. Server was unable to orbital the molecule"
}
print(smiles, list(properties_orb.keys()))
calculation.orbitals = save_array(properties_orb["orbitals"])
calculation.orbitalstxt = properties_orb["stdout"]
if properties_sol is None:
return {
'error': 'Error g-159 - gamess solvation error',
'message': "Error. Server was unable to run solvation calculation"
}
# 'charges', 'solvation_total', 'solvation_polar', 'solvation_nonpolar',
# 'surface', 'total_charge', 'dipole', 'dipole_total'
print(smiles, list(properties_sol.keys()))
charges = properties_sol["charges"]
calculation.charges = save_array(charges)
calculation.soltotal = properties_sol["solvation_total"]
calculation.solpolar = properties_sol["solvation_polar"]
calculation.solnonpolar = properties_sol["solvation_nonpolar"]
calculation.solsurface = properties_sol["surface"]
calculation.soldipole = save_array(properties_sol["dipole"])
calculation.soldipoletotal = properties_sol["dipole_total"]
# GAMESS DEBUG
os.chdir(here)
# Saveable sdf and reset title
sdfstr = cheminfo.molobj_to_sdfstr(molobj)
sdfstr = str(sdfstr)
for _ in range(2):
i = sdfstr.index('\n')
sdfstr = sdfstr[i + 1:]
sdfstr = "\n\n" + sdfstr
# Save mol2 fmt
mol2 = cheminfo.molobj_to_mol2(molobj, charges=charges)
calculation.mol2 = mol2
# Get a 2D Picture
# TODO Compute 2D coordinates
svgstr = cheminfo.molobj_to_svgstr(molobj, removeHs=True)
# Success, setup database
# calculation = models.GamessCalculation()
calculation.smiles = smiles
calculation.hashkey = hashkey
calculation.sdf = sdfstr
calculation.svg = svgstr
calculation.created = datetime.datetime.now()
# Add calculation to the database
request.dbsession.add(calculation)
# Add smiles to counter
countobj = request.dbsession.query(models.Counter) \
.filter_by(smiles=smiles).first()
if countobj is None:
counter = models.Counter()
counter.smiles = smiles
counter.count = 1
request.dbsession.add(counter)
else:
countobj.count += 1
return msg
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--scratch',
action='store',
help='',
metavar="DIR",
default="_tmp_")
parser.add_argument('--sdf', action='store', help='',
metavar="FILE") #, nargs="+", default=[])
parser.add_argument('--properties',
action='store',
help='',
metavar="FILE") #, nargs="+", default=[])
parser.add_argument('-j',
'--procs',
action='store',
help='pararallize',
metavar="int",
default=0,
type=int)
args = parser.parse_args()
if args.scratch[-1] != "/":
args.scratch += "/"
fsdf = gzip.open(args.scratch + "structures.sdf.gz", 'w')
fprop = open(args.scratch + "properties.csv", 'w')
molecules = cheminfo.read_sdffile(args.sdf)
properties = open(args.properties, 'r')
moledict = {}
for molobj, line in zip(molecules, properties):
status = molobjfilter(molobj)
if not status:
continue
status = valuefilter(line)
if not status:
continue
smiles = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
print(smiles)
sdfstr = cheminfo.molobj_to_sdfstr(molobj)
sdfstr += "$$$$\n"
fsdf.write(sdfstr.encode())
fprop.write(line)
values = [float(x) for x in line.split()[1:]]
moledict[smiles] = values
fsdf.close()
fprop.close()
properties.close()
misc.save_json(args.scratch + "molecules", moledict)
misc.save_obj(args.scratch + "molecules", moledict)
return
molobjs = cheminfo.read_sdffile(filename)
for i, molobj in enumerate(molobjs):
molobj = next(molobjs)
# stat = cheminfo.molobj_optimize(molobj)
# print(stat)
dist = Chem.rdmolops.Get3DDistanceMatrix(molobj)
np.fill_diagonal(dist, 10.0)
min_dist = np.min(dist)
if min_dist < 0.01:
print(i, min_dist)
smi = cheminfo.molobj_to_smiles(molobj)
molobj = cheminfo.conformationalsearch(smi)
dist = Chem.rdmolops.Get3DDistanceMatrix(molobj)
np.fill_diagonal(dist, 10.0)
min_dist = np.min(dist)
print(smi)
print(min_dist)
# atoms, coord = cheminfo.molobj_to_xyz(molobj)
# atoms = list(atoms)
# many_atoms = [atoms]
# mbtypes = qml.representations.get_slatm_mbtypes(many_atoms)
def parse_results(molidx,
readtemplate,
molobjs,
dump_results=None,
debug=True,
**kwargs):
"""
"""
if debug:
filename = dump_results.format(molidx)
if os.path.exists(filename):
print("exists", molidx)
return
print("parsing", molidx)
filename = readtemplate.format(molidx)
molobj = molobjs[molidx]
reference_smiles = cheminfo.molobj_to_smiles(molobj, remove_hs=True)
atoms = cheminfo.molobj_to_atoms(molobj)
n_atoms = len(atoms)
energies, coordinates, costs = merge.read_txt(filename, n_atoms)
oenergies = []
ocoordinates = []
ocosts = []
for i, energy, coord, cost in zip(range(len(energies)), energies,
coordinates, costs):
filename = "_tmp_mopac_/_" + str(molidx) + "-" + str(i) + "_"
try:
oenergy, ocoord = optmize_conformation(atoms,
coord,
filename=filename)
except:
print("unconverged", filename)
continue
m = get_molobj(atoms, ocoord)
smiles = cheminfo.molobj_to_smiles(m)
same_graph = (smiles == reference_smiles)
if same_graph:
oenergies.append(oenergy)
ocoordinates.append(ocoord)
ocosts.append(cost)
# print(smiles == reference_smiles, "{:5.2f}".format(energy), "{:5.2f}".format(oenergy), cost)
idxs = merge.merge_cost(atoms, oenergies, ocoordinates, ocosts)
renergies = []
rcoords = []
rcosts = []
for idx in idxs:
energy = oenergies[idx]
coord = ocoordinates[idx]
cost = ocosts[idx]
renergies.append(energy)
rcoords.append(coord)
rcosts.append(cost)
if dump_results is not None:
out = merge.dump_txt(renergies, rcoords, rcosts)
filename = dump_results.format(molidx)
f = open(filename, 'w')
f.write(out)
f.close()
return renergies, rcoords, rcosts
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--scratch',
action='store',
help='',
metavar="DIR",
default="_tmp_")
parser.add_argument('--sdf',
action='store',
help='',
metavar="FILE",
nargs="+",
default=[])
parser.add_argument('--dict',
action='store',
help='',
metavar="FILE",
nargs="+",
default=[])
parser.add_argument('--name',
action='store',
help='',
metavar="STR",
nargs="+")
parser.add_argument('--filename', action='store', help='', metavar="STR")
parser.add_argument('--filter', action='store_true', help='')
parser.add_argument('-j',
'--procs',
action='store',
help='pararallize',
metavar="int",
default=0,
type=int)
args = parser.parse_args()
if args.scratch[-1] != "/":
args.scratch += "/"
print()
databases_set = []
databases_dict = []
for sdf in args.sdf:
molobjs = cheminfo.read_sdffile(sdf)
molobjs = list(molobjs)
smiles = [
cheminfo.molobj_to_smiles(molobj, remove_hs=True)
for molobj in molobjs
]
smiles = set(smiles)
databases_set.append(smiles)
print(sdf, len(smiles))
for filename in args.dict:
data = misc.load_obj(filename)
smiles = data.keys()
smiles = set(smiles)
databases_set.append(smiles)
databases_dict.append(data)
print(filename, len(smiles))
if args.scratch is not None:
# Merge databases
everything = {}
for data in databases_dict:
keys = data.keys()
for key in keys:
if key not in everything:
everything[key] = []
everything[key] += data[key]
if args.filter:
everything = filter_dict(everything)
keys = everything.keys()
print("n items", len(keys))
# Save
misc.save_json(args.scratch + "molecule_data", everything)
misc.save_obj(args.scratch + "molecule_data", everything)
if args.name is not None:
n_db = len(databases_set)
if n_db == 2:
venn2(databases_set, set_labels=args.name)
elif n_db == 3:
venn3(databases_set, set_labels=args.name)
plt.savefig(args.scratch + "venndiagram")
return
