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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 smiled. “Three ways. Let’s start with the command line.”
Just as they finished, the CSV looked strange. Some rows had missing values.
Within an hour, Elena handed Leo the final compounds.csv . He opened it in Excel: columns neatly aligned, hundreds of compounds ready for analysis.
“First, we need two libraries: rdkit for chemistry and pandas for tables.”
from rdkit import Chem import pandas as pd suppl = Chem.SDMolSupplier('compounds.sdf')
“That’s it. But it gives you a limited set of default columns. If you want specific properties, you add -x options.”
For a quick, no-code solution, Elena opened her terminal.
End of story.
obabel compounds.sdf -O compounds.csv “That’s it?” Leo asked.
| Tool | Command / Code | Best for | |------|----------------|-----------| | Python + RDKit | Chem.SDMolSupplier() + pandas | Full control, custom columns | | Open Babel | obabel input.sdf -O output.csv | Speed, no coding | | KNIME | SDF Reader → CSV Writer | Visual workflows, non-programmers |
Here’s a short, instructive story that walks through the process of converting an SDF file to CSV, written in a practical, narrative style. The Molecular Mix-Up
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 smiled. “Three ways. Let’s start with the command line.”
Just as they finished, the CSV looked strange. Some rows had missing values.
Within an hour, Elena handed Leo the final compounds.csv . He opened it in Excel: columns neatly aligned, hundreds of compounds ready for analysis.
“First, we need two libraries: rdkit for chemistry and pandas for tables.”
from rdkit import Chem import pandas as pd suppl = Chem.SDMolSupplier('compounds.sdf')
“That’s it. But it gives you a limited set of default columns. If you want specific properties, you add -x options.”
For a quick, no-code solution, Elena opened her terminal.
End of story.
obabel compounds.sdf -O compounds.csv “That’s it?” Leo asked.
| Tool | Command / Code | Best for | |------|----------------|-----------| | Python + RDKit | Chem.SDMolSupplier() + pandas | Full control, custom columns | | Open Babel | obabel input.sdf -O output.csv | Speed, no coding | | KNIME | SDF Reader → CSV Writer | Visual workflows, non-programmers |
Here’s a short, instructive story that walks through the process of converting an SDF file to CSV, written in a practical, narrative style. The Molecular Mix-Up