Abstract
The African Natural Products Database (ANPDB) is a comprehensive repository currently encompassing over 11 000 natural compounds sourced from diverse species across the African continent. ANPDB integrates both experimental and predicted NMR and MS data to enhance compound annotation and facilitate dereplication, utilizing machine learning algorithms for spectral simulation and fragment prediction. The database offers a range of methods for compound structure search, including substructure matching, chemical similarity analysis, and property-based filtering, empowering users to efficiently explore chemical diversity. ANPDB also compiles detailed metadata on the traditional medicinal uses of source organisms, linking ethnobotanical knowledge with chemical and biological data. By consolidating information on biological sources, bioactivities, traditional applications, and bibliographic references (currently ranging from 1961 to 2024), ANPDB provides a robust platform for drug discovery, natural products research, and the exploration of Africa's unique chemical and medicinal biodiversity. The database is open access, and the entire dataset and metadata are available for download and for computer-aided drug design endeavours. Link to the website: https://african-compounds.org.