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refactor_Torsion_Strain.py
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refactor_Torsion_Strain.py
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import os
import argparse
import csv
import refactor_TL_Functions as rtf
# Create the parser
parser = argparse.ArgumentParser(description="Debug SDF/Mol2 IO discrepency.")
# Add the arguments
parser.add_argument(
"-i",
"--InputFile",
metavar="input",
type=str,
required=True,
help="the input file (.mol2 or .sdf))",
)
parser.add_argument(
"-o",
"--OutputFile",
metavar="output",
type=str,
required=True,
help="the output file name (with extension)",
)
args = parser.parse_args()
# Check if the output file already exists
if os.path.exists(args.OutputFile):
print("The output file already exists. Please choose a different name.")
exit()
if "schrodinger" in args.InputFile:
names, ms = rtf.schrodinger_supplier_function(args.InputFile)
elif args.InputFile[-5:] == ".mol2":
names, ms = rtf.Mol2MolSupplier(args.InputFile)
elif args.InputFile[-4:] == ".sdf":
names, ms = rtf.custom_sdmolsupplier_H(args.InputFile)
else:
print("Error. Please pass a .mol2 or .sdf file.")
exit()
print(str(len(names)) + " molecules finished reading. Calculating strain energy...")
with open(args.OutputFile, mode="w") as file_out:
file_writer = csv.writer(file_out)
count = 0
for name in names:
mol = ms[name]
if mol is not None:
try:
M = rtf.TL_lookup(mol)
mol_est = []
mol_est += M.sum(0)
mol_info = M.get_TPs()
bond_info = [
item
for sublist in sorted(mol_info, key=lambda l: l[1], reverse=True)
for item in sublist
]
file_writer.writerow([name] + mol_est + bond_info)
except:
count += 1
file_writer.writerow([name] + ["NA"])
file_out.close()
print(
str(len(names) - count)
+ " successful / "
+ str(count)
+ " NA. Please check: "
+ args.OutputFile
)