Within an hour, Elena handed Leo the final compounds.csv . He opened it in Excel: columns neatly aligned, hundreds of compounds ready for analysis.
Dr. Elena Vasquez was a computational chemist under a tight deadline. Her lab had just received a massive database of potential drug compounds—all neatly packed in a single compounds.sdf file. But her data analysis pipeline didn't speak SDF; it spoke CSV.
obabel compounds.sdf -O compounds.csv “That’s it?” Leo asked. how to convert sdf file to csv
“Open Babel is like a universal translator for molecular files,” she said. She typed:
from rdkit import Chem import pandas as pd suppl = Chem.SDMolSupplier('compounds.sdf') Within an hour, Elena handed Leo the final compounds
obabel compounds.sdf -O compounds.csv -xp "MolecularWeight" -xp "LogP"
data = [] for mol in suppl: if mol is not None: # Extract properties (the data fields from the SDF) props = mol.GetPropsAsDict() # Optionally add SMILES string for structure props['SMILES'] = Chem.MolToSmiles(mol) data.append(props) df = pd.DataFrame(data) df.to_csv('compounds.csv', index=False) Elena Vasquez was a computational chemist under a
Another trap: multi-line text fields in SDF. “If a property contains a newline character,” she warned, “it’ll break your CSV rows. You have to sanitize—replace newlines with spaces.”