The BRENDA enzyme database has developed into the main enzyme and enzyme-ligand information system. The information is manually extracted from primary literature and extended by text mining procedures, integration of external data and prediction algorithms. BRENDA is maintained by the Institute of Biochemistry and Bioinformatics at the Technical University of Braunschweig, Germany. BRENDA contains manually annotated literature-based data on a wide range of aspects of enzyme function, their metabolic role, involvement in disease processes, genomic and protein sequences, and enzyme structures. Text mining procedures extend these data with information on occurrence, enzyme-disease relationships and kinetic data. Prediction algorithms contribute locations and genome annotations. External data and links complete the data with sequences and 3D structures. Enzyme ligands provide functional and structural data. BRENDA offers a complex query tool engine allowing the users an efficient access to the data via different search methods and explorers. Major updates of the data in BRENDA are performed twice a year.

The BRENDA enzyme database:

is a clearly-structured and fully searchable relational database compiling and organizing the experimental results of more than 50 years of enzyme research. It is currently curated by Professor Dietmar Schomburg's group at the Institute of Biochemistry at the Technische Universität Braunschweig. BRENDA's records hold information on over 83,000 organism-specific representatives of almost 7,100 enzyme classes, and it is growing fast. Additional data on enzyme occurence, disease-related topic and kinetic values are retrieved by text mining and are stored in the subsections AMENDA, FRENDA, DRENDA, and KENDA.


Commercial customers need a license from
Academic customers are free to use the online version at
Academic inhouse version are also availabe as a download.