Here are some tips and tricks to keep in mind when converting SDF to Excel:
Converting an (Structure Data File or SQL Server Compact Database) to Excel generally depends on which type of SDF file you have. Standard SDF files are most commonly used in chemistry to store molecular structures or as compact database files. 1. SQL Server Compact Database (.sdf)
data = [] suppl = Chem.SDMolSupplier('input.sdf') for mol in suppl: if mol is not None: props = mol.GetPropsAsDict() props['SMILES'] = Chem.MolToSmiles(mol) data.append(props)
Install Open Babel (or use the online version at https://lifescience.opensource.epam.com/ketcher ).
| If you need... | Recommended Method | Time | | :--- | :--- | :--- | | | Online Converter (ChemMine) | 2 minutes | | One-time conversion, 1,000+ molecules | Open Babel (Command Line) | 5 minutes | | Weekly conversions with custom calculations | Python + RDKit Script | 30 min setup | | No coding, visual workflow, enterprise grade | KNIME + SDF Reader | 15 minutes | | You have V3000 SDF files (complex stereochemistry) | Open Babel or RDKit (Online tools will fail) | 10 minutes |
KNIME allows you to build a "SDF to Excel" pipeline with zero code.
If your SDF file contains proprietary structures you cannot risk uploading online, stick to the Python/RDKit local solution. It is open source, secure, and the industry standard for cheminformatics conversion.
Open a command prompt or terminal on your computer.
: Tools like RebaseData allow you to upload an SDF file and receive a ZIP archive containing individual Excel (.xlsx) files for each table in the database.