The backend services are the core of the GenUI platform and the GenUI Python API provides a convenient way to write backend extensions (i.e. new molecular generators, compound import filters, machine learning algorithms for QSAR modeling, and dimensionality reduction methods for chemical space maps). All five backend services (Figure ) are implemented with the Django web framework and Django REST Framework . For data storage, a freely available Docker image developed by Informatics Matters Ltd. is used. The Docker image contains an instance of the PostgreSQL database system with integrated database cartridge from the RDKit cheminformatics framework . The integration of RDKit with the Django web framework is handled with the Django RDKit library . All compounds imported in the database are automatically standardized with the current version of the ChEMBL structure curation pipeline .